Jay Chaudhari Email & Phone Number
@clumio.com
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Who is Jay Chaudhari? Overview
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Jay Chaudhari is listed as Commvault | SaaS, B2B, Startups, Cloud at Commvault, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at clumio.com and a matched LinkedIn profile for Jay Chaudhari.
Jay Chaudhari previously worked as Senior Manager Cloud Marketplaces at Commvault and GTM Data and Analytics Manager at Clumio. Jay Chaudhari holds Master Of Science - Ms, Business Analytics from California Polytechnic State University-San Luis Obispo.
Email format at Commvault
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AeroLeads found 1 current-domain work email signal for Jay Chaudhari. Compare company email patterns before reaching out.
About Jay Chaudhari
Data professional with 5 years of experience and an educational background in Business Analytics and Physics. Currently serving as the GTM Data and Analytics Manager at Clumio, specializing in developing data models, optimizing pricing strategies, and creating interactive dashboards that drive actionable insights.Previous experience includes consulting roles at Netflix and AT&T, where advanced analytics were applied to enhance customer engagement and reduce churn. Demonstrates a proven track record in machine learning, data visualization, and SQL, with hands-on expertise in Python and AWS.Excels at transforming complex data into strategic recommendations and is passionate about leveraging analytics to solve business challenges.Skills:• Analysis: SQL, Excel, Python, R• Visualization: QuickSight, Tableau• Cloud Platforms: AWS, Snowflake• Data Analysis• Machine Learning and Statistics• Data Modeling
Listed skills include Team Leadership, Creative Problem Solving, Programming, Science, and 4 others.
Jay Chaudhari's current company
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Jay Chaudhari work experience
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Gtm Data And Analytics Manager
- Developed Excel and Google Sheets models for deal sizing, enabling multi-million dollar comparisons against competitors like AWS Backup; migrated these models to Salesforce CPQ for enhanced tracking.- Collaborated with engineers to establish a central data lake in Snowflake, integrating customer usage data from AWS DynamoDB and RDS, and importing data from Salesforce and Zendesk using StitchData.- Created a robust data warehouse by cleaning and joining raw JSON product data with other sources, and built interactive dashboards in AWS QuickSight to provide the GTM team with insights on customer health, usage patterns, and upsell opportunities.- Designed a data analytics pipeline to analyze multi-million dollar AWS bills, resulting in cost optimizations of over $500K/year, and worked with PMs to refine pricing strategies based on profit margins.- Established revenue recognition models for a consumption-based business, accurately tracking ARR, churn, and upsell/downsell metrics.
Data Scientist
Technical Business Analyst
Data Science Consultant
- Strategized the launch of Netflix Games, conducting comprehensive market research to evaluate industry opportunities.- Analyzed anonymized viewing data to provide recommendations based on device usage patterns, genre preferences, and geographic viewing trends to predict propensity to new service adoption.- Developed customer segments based on streaming activities, proposing tailored advertising strategies for mobile gamers to enhance engagement.
Graduate Student Assistant
- Coordinated the Athletics Tutoring Program, providing administrative support for daily operations, including scheduling student-athlete tutoring appointments, tracking attendance data, and preparing comprehensive reports.- Automated the generation of daily, weekly, and quarterly reports and dashboards using Excel (VBA, VLOOKUP, Pivot Tables) and web scraping, reducing report preparation time from 20 hours to 40 minutes.- Calculated usage metrics to optimize staffing hours and tutor enrollment, enhancing program efficiency.- Self-taught in AppleScript and implemented a solution to auto-fill and submit web forms, decreasing the required time from 25 hours to 4 hours.
Data Science Consultant
- Developed customer personas and mapped customer journeys, identifying key campaign strategies and optimal communication channels to enhance engagement.- Processed and analyzed large datasets exceeding one billion rows using R, PySpark, and SQL, creating predictive models to mitigate customer churn.- Utilized market basket analysis and association rules to uncover insights into customer interactions with AT&T, forecasting potential future behaviors.- Recommended strategic actions and ideal contact timings to boost customer engagement and minimize churn risks.
Data Scientist - Optimization
- Analyzed product formulations to optimize product line selection, identifying the most profitable variations to drive revenue.- Conducted in-depth research and implemented optimization strategies across various scenarios, including supplier selection, procurement processes, fulfillment center location, freight allocation, project crashing, and the traveling salesman problem, utilizing AMPL and CPLEX.- Processed 400,000 data points to define parameters for a linear regression model, assessing customers’ perceived importance of different product features, and implemented the model using R.
Data Scientist - Demand Forecasting
- Estimated demand for out-of-stock products using the Universal Singular Value Thresholding (USVT) algorithm, implemented in Python (NumPy, Pandas, Scikit-learn, Matplotlib).- Applied Monte Carlo simulations to assess the impact of stocking levels on profits and modeled customer behavior to estimate lifetime value using Microsoft Excel.- Performed data analysis for one of India’s leading online grocery apps, serving 10 million users. Developed custom R functions (dplyr, ggplot2) that significantly reduced data preparation and exploration time for 12 million data points.
Project Lead - Market Research
- Led a team of 30 professionals to design and implement a perception and feedback study, engaging over 4,000 respondents.- Collaborated with clients, including shareholders and C-level executives from one of India’s largest conglomerates (market cap: $200 billion), to pinpoint critical issues.- Compiled and analyzed 1.6 million qualitative and quantitative data points using IBM SPSS to uncover meaningful patterns.- Generated comprehensive reports and actionable recommendations utilizing MS Office (Excel, PowerPoint, Word), presenting findings effectively to clients.- Directed a multidisciplinary team of developers, UI designers, and legal experts in the development of a SaaS product for data collection and analysis, recommending key features, APIs, and cloud infrastructure, while creating a thorough product manual.
Jay Chaudhari education
Master Of Science - Ms, Business Analytics
Bachelor Of Science-Master Of Science (Bs-Ms Dual Degree), Major In Physics & Minor In Engineering Science
Frequently asked questions about Jay Chaudhari
Quick answers generated from the profile data available on this page.
What company does Jay Chaudhari work for?
Jay Chaudhari works for Commvault.
What is Jay Chaudhari's role at Commvault?
Jay Chaudhari is listed as Commvault | SaaS, B2B, Startups, Cloud at Commvault.
What is Jay Chaudhari's email address?
AeroLeads has found 1 work email signal at @clumio.com for Jay Chaudhari at Commvault.
Where is Jay Chaudhari based?
Jay Chaudhari is based in San Francisco Bay Area, United States while working with Commvault.
What companies has Jay Chaudhari worked for?
Jay Chaudhari has worked for Commvault, Clumio, Netflix, California Polytechnic State University-San Luis Obispo, and At&T.
How can I contact Jay Chaudhari?
You can use AeroLeads to view verified contact signals for Jay Chaudhari at Commvault, including work email, phone, and LinkedIn data when available.
What schools did Jay Chaudhari attend?
Jay Chaudhari holds Master Of Science - Ms, Business Analytics from California Polytechnic State University-San Luis Obispo.
What skills is Jay Chaudhari known for?
Jay Chaudhari is listed with skills including Team Leadership, Creative Problem Solving, Programming, Science, Research, Teaching, Management, and Microsoft Office.
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