DS projects and Research on Root Cause Analysis, Time Series Modeling, Outlier Detection, Trend detection, Bayesian Modeling (Market Mix Modeling), Semi-supervised classification model and Large Language Models (GPT4, BertTopic).Tools used: Python, Docker, AWS

* Development and maintenance of the Advertiser Intelligence Reporting Workflow: ˆ Creation of new reports based on marketplace changes. ˆ Addition of new metrics to existing reporting workflow and measure their usefulness. ˆ Check the relevance of existing workflows and reports and provide insights based on advertiser needs for future development.* Impact analysis: ˆ Calculate the impact of business deals, changing pricing models on market health and assistOTAs in making data-driven decisions.* Creation of A/B testing reports for signed-up partners based on feature rollouts.* Provide support for Key accounts to identify patterns and anomalies using statistical and machine learning approaches.

● My primary role was in developing and maintaining the reporting workflow of Marketshare Multi-Touch Attribution product and in training the respective teams on how to derive insights and recommendations from the model. I played a prominent role in bridging the communication gap between various teams and in detailing the core aspects of our Multi-Touch Attribution model to audiences with different knowledge levels. Served as the primary person from Engineering for answering technical and business-related aspects of the ‘Digital Attribution Model’ we built.● Excellent Communication and Training Skills: Experienced in training Client Facing Team (Technical Product Managers) both onsite and offsite on improvements and changes in our Analytics Product. Visited Company headquarters in Los Angeles, CA during the period Aug. 2016 to Sep. 2016.● Reporting and BI Tools: I have experience building reports in Tableau and Arcadia. Have worked closely with Product management to create, develop and maintain visual reports presented across the Multi-Touch Attribution model.● Machine Learning: Good knowledge of all major machine learning algorithms and have experience working with major Python libraries for Data Science applications.● Skills: Python (Data Visualization using Python libraries), R, SQL, Excel.● Ability to self-learn and quickly adapt to new technologies. Have worked under tight deadlines and yielded commendable results which gained much appreciation from the levels of Chief Operating Officer.

Did internship with Codeyssus Labs (a startup company) during my College Summer break. This was a voluntary project we did as a team on Python 2.7 using django framework.