Anishsanjay Nayak
Product Analyst
Brooklyn,NY
Summary
Data scientist with 7+ years' experience in online retail, healthcare & database industries. Driven to improve user product experiences by bringing expertise in leveraging data & business acumen with descriptive/prescriptive customer behavioral analytics, experimentation, and business intelligence & reporting.
Overview
8
8
years of professional experience
5
5
years of post-secondary education
Work History
Senior Product Analyst
MongoDB
02.2022 - Current
- Collaborate closely with Product, Engineering, UX Research & Design stakeholders to develop product strategy decisions and formulate roadmap as an embedded analyst within the Full-text and Vector Search products
- Identify product growth opportunities through key analytics initiatives such as customer behavioral segmentation, growth & marketing campaigns, and causal inference, leading to 200%+ growth in revenue
- Own weekly product scorecard to communicate to leadership about the state of the product and answer questions from Go-to-market, customer success and business strategy teams around usage & churn patterns, and attainment of yearly targets
- Involved in growth of product analytics and sister analytics teams through technical and product sense interviews, and mentorship of junior analysts & interns
Associate Manager - Analytics
Factspan
San Francisco, CA
10.2018 - 02.2022
- Led team of 5 in building a product analytics framework for a pharmaceutical e-commerce client, including analytics instrumentation, reporting and business intelligence across their site and app using Adobe suite
- Strategic reporting of product and CX KPIs to C-suite leadership by defining and identifying baselines and quantifying growth over time, tied to site product releases
- Inform actionable insights around COVID testing and vaccination experiences, to improve customer scheduling experience, leading to 7M+ vaccines appointments booked in 8 months and improving completion rates by 30%
- Design and implement 15+ experiments to improve customer discovery and transaction experiences such as login/signups, BOPS toggling, search relevance, full-funnel promos, monetization etc.
- Deep-dive into customer behavioral data to answer key questions around discovery preferences, next best action, customer intent, marketing channel attribution etc.
Research Associate
GWU
07.2017 - 08.2018
- Developed a MATLAB & Python based pipeline to perform quick data cleansing and formatting, classification exercises, and analysis
deep-dives for anonymized CT-scan image data - Developed a k-nearest neighbors (KNN) algorithm with a 92.5% accuracy of classifying between tumor grades for small clear cell Renal Cell Carcinomas (ccRCC)
- Developed the algorithm for the project titled "Utility of Texture and Neural Network Analysis to Distinguish Homogeneous Papillary Renal Cell Carcinoma from Hyperdense Renal Cysts", which was orally presented at SAR (Society of Abdominal Radiology) 2019 in Orlando
Education
Master of Science - Electrical Engineering, Image processing
George Washington University, The
Washington, DC 09.2016 - 05.2018
Bachelor of Engineering - Electronics & Instrumentation Engineering
Birla Institute of Technology & Science
Pilani, India 08.2010 - 05.2014
Skills
SQL, Python
DataRobot essentials certification- DataRobot (Dec 2019)
Experimentation, Causal inference
Product & Customer analytics, data mining & visualization, analytics engineering
Tableau, Amplitude, Adobe Suite (Analytics, Target, Launch), Google Analytics, Airflow
SQL, Python
Timeline
Senior Product Analyst
MongoDB
02.2022 - Current
Associate Manager - Analytics
Factspan
10.2018 - 02.2022
Research Associate
GWU
07.2017 - 08.2018
Master of Science - Electrical Engineering, Image processing
George Washington University, The
09.2016 - 05.2018
Bachelor of Engineering - Electronics & Instrumentation Engineering
Birla Institute of Technology & Science
08.2010 - 05.2014
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