Tamalika Basu

Developed an anomaly detection framework with advanced machine learning models and visualization for a global fintech lending firm. (Techniques: Python; SQL Database) - Explored various unsupervised models to select a suitable detection framework for anomaly detection in generic datasets used by the firm - Performed Exploratory Data Analysis to identify seasonality and categorize a credit lending dataset to build configurations for model selection - Ensured expense reduction and faster turnaround time in the team’s anomaly detection processes by creating a low-touch solution with minimal false positives

• Developed launch plans for diabetes, obesity drugs for a large US pharma company, streamlining project management, key deliverables, and agile milestones for the 15 months before launch • Conducted extensive training for 100+ client colleagues for a multi-country engagement by orienting on ZS solution • Collaborated with ZS leadership in 15+ RFPs, as part of Business Development for ZS; yielded major contract wins worth 7 figure USD • Awarded the 'Project Champion' award for establishing impacts across critical client engagements

• Led the business requirement gathering, solution development & operations for an Obesity drug for a Fortune-500 pharma company • Designed a SQL solution for a Top-10 pharma client, analyzed the performance contribution to determine and reward the top 10% high performers on the sales force • Revamped reporting dashboards for US-based pharma clients implementing an automated payout simulator for sales reps that reduced field queries on quarterly compensation plan changes • Developed a macro-based pharma contest design tool for clients’ leadership to enhance brand revenue and promote field engagement across critical depth and breadth sales metrics

• Used data-driven analysis to deduce KPIs, inflection points, outliers, and risks for client leadership, to help make informed decisions about compensation plan change for the subsequent quarter

•Student Organizer for Special Guest Care Committee at one of the largest university level tech-fest of the country •Headed team of 7 for 4 days to accomplish all accounts of logistics & special requests for renowned Indian celebrity guests

• Drafted proposals, manifestos for institutional memberships and university approvals, and recruited members as part of community building & outreach • Elected as ‘General Secretary’ for handling operations across various events, fests, and engagements that the chapter appraised • Successfully organized a huge collaboration forum; secured notable sponsorship and participants' turnaround (1,000+)

Built a prototype for optimizing inquiry management for a railway system using the most recent 24 months of bookings’ data to identify seasonality and data patterns for creating and managing seat availabilities and deducing prices

Key Coursework: - Advanced Statistics (Focus: Data Exploration, Hypothesis Testing, Parametric & Non Parametric Techniques, Regression Analysis) - Machine Learning (Focus: Supervised & Unsupervised Techniques, Neural Network Algos) Decision Analytics (Focus: Causal Inference, A/B Testing, Predictive Modelling) Data Management and Visualisation (Focus: SQL, Tableau, NoSQL) Time Series Analytics (Focus: Time Series Forecasting using ETS, ARIMA) Big Data Analytics (Focus: Real Time Analytics, CNN, GANs, Reinforcement Learning)

Key Coursework - • Core Subjects: Computer Architecture and Organization, Engineering Graphics, Object-Oriented Programming, Data Structures, Algorithm Design Analysis, Operating Systems, Computer Networks, Database System, Software Engineering, Management Information System, Software Project Management, Operations Research • Quantitative: Differential Calculus, Numerical Analysis, Linear Algebra, Applied Probability, Statistics and Reliability, Graph Theory and Applications • Capstone: Used a combination of embedded systems and analytics to create 'IoT Based Smart Parking with Live Status Notification'