Jul 2019 – Feb 2025 · 5 yrs 7 mos · Hybrid

• 1. Implemented an advanced market mix modeling strategy using Bayesian techniques to assimilate national and local ad metrics, enhancing attribution accuracy by 40% and facilitating a $1M revenue transaction by demonstrating campaign impact to enterprise clients.
• 2. Engineered a pioneering Reach Frequency Model utilizing SparkSQL, optimizing digital clean room processes and contributing to a $1M+ client engagement.
• 3. Developed a sophisticated linear attribution system incorporating causal impact methods, successfully integrating with existing multi-touch modeling frameworks, attracting 10+ enterprise clients in the initial quarter.
• 4. Innovated a batch campaign reporting system leveraging ITT and PP causal frameworks during company hackathons, converting it into a product that facilitated onboarding for over 6 enterprise clients through enhanced experimental
• analysis capabilities.
• 5. Developed and enforced robust QA standards using SparkSQL, cutting processing time for client implementation by 60%, improving overall data workflow productivity.

Oct 2018 – Jun 2019 · 8 mos · Boston, Massachusetts, United States

• 1. Built and implemented may data pipelines for multiple clients, resulting in significant improvements in impression, reach, lift and attribution metrics. In this fast-paced startup environment, I leveraged my skills in data engineering, data science, product management, DevOps, and UI to wear multiple hats and ensure project success.
• 2. Developed Bash shell scripts to automate system maintenance, data processing workflows, and batch job scheduling using tools like cron and tmux reducing manual errors by 40%

Jul 2017 – Oct 2018 · 1 yr 3 mos · Boston, Massachusetts

• 1. Engineered a predictive analytics solution using Random Forest algorithm and Linear Regression to enhance program/channel viewership prediction accuracy by 30%, through improved user-level data insights.
• 2. Implemented K-means clustering algorithm to segment users into light, medium, and heavy usage categories, contributing to a 15% enhancement in demographic viewership prediction accuracy.

Jun 2016 – Jul 2017 · 1 yr 1 mo · Boston, Massachusetts

• Data Modelling: Created TV Ad data model in NOSQL and SQL databases in Presto, MYSQL and S3. Created TV ratings data model in Scala Spark and storing it into Amazon S3 and accessing it via Amazon Athena.
• Data Analysis: Extracted actionable insights on TV viewership data (Big data) using zeppelin and matplotlib.

Jan 2016 – May 2016 · 4 mos · Boston MA

• Candidate for Masters of Science in Computer Science May 2016 Related Courses: Parallel Data Processing in Map-Reduce, Machine Learning, Algorithms
• Projects:
• Fighting Crime with Big Data – Java, Amazon Web Services – Elastic Map Reduce, S3, Weka: Developed a tool that predicts the crime location in Boston and Chicago streets by running multiple Map-Reduce programs on large dataset of crime using K-D tree Algorithm.

Jul 2015 – Dec 2015 · 5 mos · Cambridge MA

• Developed a Principal Component Analysis (PCA) tool on Spark to help analysts to do data analysis based on very large data sets i.e Big Data.
• Technologies Used :: Spark, Scala, Cassandra

Jul 2014 – Dec 2014 · 5 mos · Cambridge MA

• Part 1:
• Given : Graph Database of Genes, Pathways, Phenotypes and diseases.
• Implemented Dijkstra's algorithm to traverse the Graph Database consisting of 3 billion Nodes to find a connection between any to given genes, pathways, phenotypes and diseases.
• Part 2:
• Research : Performance evaluation of Virtual Graph Databases - D2RQ
• Did a thorough performance evaluation of the Virtual Graph Database (D2RQ) and compared it against In Memory Graph Database (Allegrograph).
• Learnings :
• a) This performance evaluation helped me learn that the Virtual Graph Database is efficient only for a record base of only half a million records.
• b) It offers a great flexibility when you add new columns to the database, You dont need to change anything other than a small configuration change in an xml file.
• Programming Languages Used : Python, R

Jan 2013 – Jul 2013 · 6 mos

• 1. Database Engineering and Performance Tuning: Designed and optimized Oracle PL/SQL packages, procedures, and functions to improve data retrieval processes, achieving a 35% boost in query performance. Conducted database performance tuning by analyzing execution plans, optimizing indexing strategies, and utilizing materialized views, which reduced latency by 20%. This reflects expertise in SQL coding and database performance optimization, transferable to relational databases like PostgreSQL and Oracle.
• 2. ETL and Data Management: Developed ETL workflows using PL/SQL for data transformation and migration between Oracle databases, aligning with business logic for accurate report generation. This demonstrates proficiency in managing relational databases and handling data workflows effectively, skills applicable to systems like Oracle, PostgreSQL, and MySQL.
• 3. Incident Management and Root Cause Analysis: Debugged PL/SQL scripts and Java code to resolve critical defects in an Auto-Loan System, reducing production incidents by 50%. This highlights experience in incident management and root cause analysis, vital for maintaining distributed systems.
• 4. Automation and Integration: Automated data movement tasks with Python scripts integrated into Oracle databases, cutting manual processing time by 25%. This demonstrates the ability to innovate through automation and deliver end-to-end solutions that enhance operational efficiency.
• 5. Collaboration and Agile Methodologies: Worked with cross-functional Agile teams to implement new system features, including Unix shell scripts for job scheduling and batch processing. This reflects familiarity with software development life cycles and effective collaboration in Agile environments.
• 6. DevOps and Scalability: Hands-on experience with DevOps practices such as CI/CD pipelines, Docker, Kubernetes, and AWS.

Aug 2012 – Jul 2013 · 11 mos

Aug 2010 – Jan 2012 · 1 yr 5 mos

• A java, JSP, PL/SQL programmer and Proficient in Spring Framework.