Anamika Bharali

I am Anamika Bharali, and as a current master of science student in Information Systems with a focus on data science at Northeastern University, I desire to revolutionize society with data and tech. I have previously worked with 2 industry pioneers such as Tata Motors and Amazon as a data analyst for a whole of two years. With extensive experience in SQL development, I have also created and monitored stored procedures, views, and ETL processes.

I have worked in Python, R, and C++ and am also well-versed in Scipy, Numpy, Pandas, and several statistical techniques. While at the Defense Organization of India, I individually coded the controller for the thermal imager atop a military tank. I love taking charge but learning and growing in a collaborative environment is what keeps me motivated and feeds energy to my soul.

Tata Motors, Thane, India Jan 2021 – Jul 2022

Senior Data Analyst

• Conducted cluster analysis and hypothesis testing to identify root causes of diminished aftersales purchases for various categories of vehicle breakdowns, resulting in successful delivery of value-added services in Salesforce CRM that increased revenue by 15% 
• Formulated a comprehensive price optimization framework using multilinear models in Python and Seibel analytics, resulting in a 25% revenue increase for the West region of India 
• Led cross-departmental collaboration to strategize key revenue-driving factors by pulling data from data lake servers and conducting extensive data analysis using SQL by devising ETL pipelines with Airflow scheduling on sales data, resulting in the identification of several key areas for improvement that boosted revenue by 25% 
• Monitored and led defect troubleshooting by implementing Multi-Dimensional Cube for the assembly line in manufacturing plant improving turnaround time by 30% and built dashboards to report the same to stakeholders executed in Tableau 

Operations Data Analyst

• Utilized AWS cloud infrastructure to collaborate with the development team and create an optimized delivery routing algorithm, resulting in a 35% improvement in package delivery efficiency and a monthly cost savings of $9k. 
• Leveraged DevOps and SRE principles to automate the data collection and analysis process for all north delivery stations, reducing manual labor hours by 20% and increasing the accuracy of package routing metrics by 20%. 
• Created a comprehensive visualization dashboard in Tableau, providing real-time insights into package routing metrics for all north delivery stations.

Master of Science in Information Systems at Northeastern University