Sriram Koyalkar | Data Scientist & Engineer
Turning raw data into actionable insights through ETL pipelines, predictive modeling, and dashboard automation using SQL, Python, and AWS.
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Professional Summary
Data Engineering Excellence
Specialized in automating ETL pipelines that reduce manual workload by 35% while improving data availability for end-users across organizations.
Visualization Expertise
Built and deployed interactive dashboards using Tableau and Power BI that increased KPI visibility and reduced system downtime by 20%.
Cross-Functional Collaboration
Partnered effectively with product, finance, and engineering teams to streamline data handoffs and accelerate project delivery timelines.
As a Data Scientist with a passion for engineering precision, I bring a hands-on, results-oriented approach to every project. My experience spans SQL, Python, Tableau, Power BI, and AWS, enabling me to transform raw data into insights that drive impactful business decisions. I'm obsessed with data quality, documentation, and building scalable solutions that deliver long-term value.
Whether it's designing robust reporting systems, troubleshooting complex pipelines, or mentoring teammates, I focus on creating data solutions that enable organizations to unlock the full potential of their information assets. My technical expertise combined with strong communication skills allows me to translate complex data concepts into actionable business strategies.
Current Role: Data Scientist at Profile DM Inc
Since June 2025, I've been leading analytics solution development and reporting systems that support company-wide, data-driven decisions at Profile DM Inc. My role combines technical expertise with strategic thinking to deliver insights that drive business performance.
SQL Pipeline Development
Designed and maintained SQL pipelines processing over 1 million records daily for business analytics, ensuring data is available when and where it's needed most.
Dashboard Automation
Built automated dashboards using Tableau and Power BI to track user behavior and system KPIs, significantly improving the speed and quality of decision-making processes.
Data Quality Assurance
Conducted thorough root cause analysis and anomaly detection, maintaining an impressive 97% data accuracy rate across all reporting systems.
Process Optimization
Automated recurring reporting tasks using Excel VBA, reducing manual workload by 30% and freeing up team resources for higher-value activities.
A key aspect of my success has been my ability to collaborate effectively with cross-functional teams to define meaningful KPIs and deliver insights that directly improve performance. By bridging the gap between technical capabilities and business needs, I've helped establish a data-driven culture that empowers better decision-making at all levels.
Previous Experience: Data Engineer at Xpand IT Solutions Inc
From October 2024 to June 2025, I served as a Data Engineer at Xpand IT Solutions Inc, where I focused on building scalable data infrastructure and optimizing data workflows. During my 9-month tenure, I made significant contributions to improving data processing efficiency and reliability.
One of my key achievements was engineering and deploying scalable ETL pipelines using SQL and BigQuery, which improved data processing speed by 40% and increased data availability for downstream applications. This enhancement enabled faster analytics and more timely business insights.
I also automated recurring data workflows with Excel (Power Query + VBA), reducing manual effort by 35% and ensuring faster turnaround for weekly reports. This automation freed up valuable team resources and minimized the risk of human error in critical reporting processes.
Another significant contribution was building and maintaining interactive dashboards in Tableau to monitor system load performance and pipeline health. These dashboards reduced downtime by 20% through early anomaly detection, allowing the team to address potential issues before they impacted business operations.
40%
Faster Processing
Improvement in data processing speed through optimized ETL pipelines
35%
Less Manual Work
Reduction in manual effort through workflow automation
20%
Reduced Downtime
Decrease in system downtime through early anomaly detection
98%
Pipeline Reliability
Success rate for scheduled data loads over 3 months
My role also involved diagnosing and resolving pipeline failures, which improved the reliability of scheduled data loads with a 98% success rate over 3 months. Additionally, I partnered with engineering and analytics teams to streamline data handoffs and reduce cross-team delivery friction, accelerating release timelines and improving overall project efficiency.
Machine Learning Experience at Feynn Labs
From January to May 2022, I worked as a Machine Learning Engineer intern at Feynn Labs in India. This experience was pivotal in my career development, allowing me to channel my passion for data and patterns into practical applications with real-world impact.
"Ever since my undergraduate studies, I've been deeply curious about data, patterns, and how machine learning can extract insights that drive real-world impact. This internship gave me the opportunity to channel that passion into practical experience—building models, working with real datasets, and understanding the full ML pipeline from data collection to deployment."
Model Development
Developed supervised learning models (Logistic Regression, Random Forest) using Python and Scikit-learn to solve classification problems with real-world datasets.
Data Preprocessing
Preprocessed and engineered features from structured and unstructured data, improving model performance by over 20% through better input representations.
Model Evaluation
Evaluated models using metrics like precision, recall, and ROC-AUC, ensuring business-aligned decisions in model selection.
During this internship, I also worked with cross-functional mentors and teams, learning best practices in reproducible experimentation, version control, and clean code. I explored deployment basics using Flask and AWS, gaining hands-on exposure to turning ML prototypes into usable services.
This experience expanded not only my technical capabilities but also my understanding of how data flows through an ML system, the importance of data quality, and the reality of experimenting and iterating until achieving optimal results. It confirmed my passion for solving meaningful problems with machine learning and data science.
Volunteer Experience: Street Cause
From March 2019 to April 2021, I served as a Student Volunteer with Street Cause in India. This two-year experience was transformative, shaping both my personal and professional development while allowing me to make a meaningful impact in underprivileged communities.
"Volunteering with Street Cause was one of the most meaningful experiences of my early journey—not just because I was able to help others, but because it helped shape who I am today."
I contributed to organizing awareness drives, food donation events, and local campaigns aimed at addressing real issues in underprivileged communities. While our initiatives directly impacted many lives, the experience had an equally powerful effect on my personal and professional growth.
Community Outreach
Led initiatives coordinating with team members to manage logistics and communication across multiple stakeholders.
Public Speaking
Engaged with diverse groups, sharpening communication skills through on-the-ground interactions.
Leadership Development
Balanced empathy with execution while managing small teams for project delivery.
Adaptability
Developed resilience working under resource and time constraints to deliver meaningful results.
Street Cause taught me that real change doesn't come from resources alone—it comes from initiative, empathy, and consistent action. I walked in hoping to help others and walked out having learned how to influence, inspire, and lead with purpose. These soft skills have proven invaluable in my professional career, complementing my technical expertise with the human-centered perspective needed to drive meaningful change through data.
Educational Background
2017-2021
Jawaharlal Nehru Technological University
Bachelor's degree in Information Technology
  • Built strong foundation in computer science fundamentals and programming
  • Developed initial interest in data analysis and machine learning
  • Participated in technical competitions and hackathons
2022-2024
New Jersey Institute of Technology
Master's degree in Data Science
  • Advanced coursework in machine learning, statistical analysis, and big data technologies
  • Specialized in predictive modeling and data engineering techniques
  • Completed capstone projects applying data science to real-world business problems
My educational journey has provided me with a solid theoretical foundation in data science, machine learning, and information technology. At NJIT, I deepened my understanding of advanced analytics techniques and big data technologies, while my undergraduate studies at JNTU gave me a strong grounding in computer science fundamentals.
Throughout my academic career, I consistently sought opportunities to apply classroom learning to practical problems, participating in research projects, hackathons, and industry collaborations. This blend of theoretical knowledge and practical application has been instrumental in my professional success, allowing me to approach data challenges with both technical rigor and creative problem-solving.
I continue to expand my knowledge through self-directed learning, professional certifications, and staying current with emerging trends in data science and engineering. This commitment to continuous learning ensures that my skills remain relevant in the rapidly evolving field of data analytics.
Technical Skills & Expertise
Data Engineering
  • ETL Pipeline Development
  • Data Warehousing
  • SQL & NoSQL Databases
  • Big Data Technologies
Programming
  • Python
  • SQL
  • Excel VBA
  • R (Basic)
Data Visualization
  • Tableau
  • Power BI
  • Excel Dashboards
  • Python Visualization Libraries
Cloud & Tools
  • AWS Services
  • BigQuery
  • Version Control (Git)
  • Jupyter Notebooks
Soft Skills
Communication
  • Public Speaking
  • Technical Writing
  • Cross-functional Collaboration
Leadership
  • Team Coordination
  • Project Management
  • Mentoring
Problem-Solving
  • Analytical Thinking
  • Root Cause Analysis
  • Creative Solutions
My technical toolkit combines data engineering fundamentals with advanced analytics capabilities, allowing me to handle the full data lifecycle from extraction and transformation to analysis and visualization. I continuously expand my skillset to stay current with industry best practices and emerging technologies in the data science field.
Professional Achievements & Impact
ETL Pipeline Optimization
Engineered scalable data pipelines that improved processing speed by 40% and increased data availability for downstream applications, enabling faster business insights and decision-making.
Workflow Automation
Reduced manual reporting effort by 35% through intelligent automation of recurring data workflows, freeing up valuable team resources for higher-value analytical activities.
Performance Monitoring
Built interactive dashboards that reduced system downtime by 20% through early anomaly detection, maintaining a 97% data accuracy rate across all reporting systems.
Cross-Functional Impact
Beyond technical achievements, I've made significant contributions to organizational effectiveness through cross-functional collaboration. By partnering with engineering and analytics teams to streamline data handoffs, I've helped reduce delivery friction and accelerate release timelines. My ability to translate complex data concepts into actionable business insights has enabled stakeholders across departments to make more informed decisions.
Continuous Improvement
I maintain a strong focus on data quality, documentation, and scalable solutions. By implementing robust data governance practices and creating comprehensive documentation, I've helped establish sustainable data systems that continue to deliver value long after initial implementation. My commitment to continuous improvement ensures that data solutions evolve alongside changing business needs and technological capabilities.
These achievements reflect my dedication to excellence in data science and engineering, as well as my commitment to delivering tangible business value through data-driven insights and solutions.
Connect With Sriram Koyalkar
Thank you for taking the time to explore my professional profile. I'm always interested in connecting with fellow data professionals, potential collaborators, and organizations looking to unlock the full value of their data assets.
Let's Discuss:
  • Data engineering and ETL pipeline optimization
  • Dashboard automation and visualization strategies
  • Predictive modeling and machine learning applications
  • Cross-functional data collaboration
  • Data-driven decision making
Whether you're looking to enhance your organization's data capabilities, explore potential collaboration opportunities, or simply connect with a fellow data enthusiast, I'd be delighted to hear from you. My approach combines technical expertise with business acumen to deliver data solutions that drive meaningful results.
"Let's connect to explore how I can help your organization unlock the full value of its data!"
Location
United States
Top Skills
Public Speaking • Public Relations • Strategic Planning
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