Dynamic analytics professional with a proven track record at Tredence Analytics, specializing in SQL and advanced data analytics. Adept at leveraging machine learning techniques and fostering collaboration across teams to drive impactful business outcomes.
● Built a B2B Customer 360 data model
● Leading text analytics on SDR and MDR notes to identify key drivers of Closed Won and Closed Lost opportunities
● Extension to contact data harmonization
● Initiated harmonizing contact data & improving lead conversion for e-sign leader, estimated to save $20k/M/team
● Boosted opportunity conversion & account retention by 3% for a cloud software performance company
● Formulated metrics for dashboarding to support sales and marketing teams, reducing operational time by 12%
● Ideated feasible data model saving 20% of data retention cost for kids’ smart watch
● Developed business case to generate workforce insights, improving employee feedback score by ~7% in 6 months.
SQL, Python (Data Processing), CRM Analytics (Salesforce Analytics Studio), SAQL, Inferential Statistics (Hypothesis testing - parametric & non-parametric), Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Tree, Bagging & Boosting Techniques, Clustering Techniques etc), Data Modelling, Tableau, A/B Testing, PySpark (Databricks), Alteryx
● Stack Route NIIT – Certification of Achievement in Data Science for All Program
● HackerRank - SQL (Advanced) Certificate
● Stack Route NIIT – Certification of Achievement in Data Science for All Program
● HackerRank - SQL (Advanced) Certificate