May 2024 – Present · 2 yrs 1 mo · Atlanta Metropolitan Area · Remote

• Founded and launched Chuki, a health-focused barcode scanner app, achieving 5000+ downloads, 250+ monthly active users, and maintaining a perfect 5.0 App Store rating with 25+ reviews
• Implemented comprehensive health scoring system using NutriScore and Food Additives breakdown APIs to provide detailed package food analysis
• Achieved 20% user retention rate through continuous product improvements and user-centric feature development
• Reduced time-to-market by executing rapid product development cycle, launching MVP within 3 months
• Gathered and incorporated user feedback leading to multiple success stories of users making healthier food choices
• Built and managed entire product lifecycle including market research, UX design, development, and App Store optimization
• Implemented Amplitude Analytics to track user behavior, leading to data-driven product improvements
• Successfully integrated GenAI API to enhance product capabilities and solve complex user problems
• Built and executed influencer marketing strategy, partnering with creators having 500K+ followers

Mar 2022 – Jun 2022 · 3 mos · California, United States

• Worked with 8M+ viewers data to build a machine learning model to predict who among these are most likely to become gamers in the future.
• Did RFT analysis, to create different segments of viewers and target them based on the segments.
• Created different targeted personas to target.
• Did Market Research, Pricing and Machine Learning on this project.

Jan 2022 – Jun 2022 · 5 mos · San Luis Obispo, California, United States

• Reduced time taken from 15 min to 1.5 min to delete AWS resources like S3, Cloudstack etc. using Bash script.
• Design highly resilient & available cloud architectures with AWS Solution Architects for California National Guards Cyber range.
• Created AMI image for windows/linux EC2 instances with security groups for 17 students. Imported 14 Informatica business tables using AWS Glue into AWS Athena leading to successful execution of Informatica project.
• Won 2nd place out of 10 teams in VUCA competition conducted by National Security Agency by providing “Automated PPE detection and alerting system using AI” in Improving advanced manufacturing in Newport Beach, CA.

Jan 2022 – Mar 2022 · 2 mos · California, United States

• Developed a “Mock moving average” time series forecasting model to predict sales pipeline generated for Informatica with 88% accuracy for months in advance.
• This model could be molded to predict weekly, monthly, yearly sales pipeline by different geographical region and product.

Jan 2022 – Mar 2022 · 2 mos · San Luis Obispo, California, United States

Oct 2021 – Jun 2022 · 8 mos · San Luis Obispo, California, United States

• Working with Dr. Joey Gray to help her with her research on Sports Analytics.

Nov 2020 – Aug 2021 · 9 mos · Bangalore Urban, Karnataka, India

• Built headcount tracking, Org design, Data audit dashboard in Power BI within a month reducing 98% errors and received recognition for bringing in “Mastery to HR Analytics” team.
• Collaborated with other business stakeholders to understand requirements and build custom solutions from Snowflake and SuccessFactors data leading to more effective internal team meetings and decision making.
• Boosted decision making by building Talent Acquisition, Workforce Planning, DE&I, Turnover, Headcount dashboards leading to 10k+ views (10x increase compared to previous month) within a month.
• Spearheaded DE&I KPI tracking dashboard to highlight diversity issues leading to more proactive DE&I initiatives which improved total Women count from 27.2 to 28% and URPOC from 3.8 to 4.4% at the end of the year.

Sep 2018 – May 2020 · 1 yr 8 mos · Bangalore

• Designed Workforce Planning process for APAC on Tableau, yielding 80% reduction in manual reconciliation time from 5
• meetings every month to just 1 meeting using Workday data.
• Developed ROI and Business Performance dashboard tracking employee productivity, labor E/R resulting in easy decision
• making for business stakeholders and effective workforce planning decisions.
• Developed HR Analytics solutions in Descriptive and Predictive areas resulting in being awarded 1st place in “Excellence in
• HR Analytics” award category by SHRM India beating 8 other Fortune 100 companies.
• Simulated budget headcount, cost for next year leading to effective planning & allocating of resources for 16+ countries.

Jun 2018 – Jun 2019 · 1 yr · Bangalore

• Learn:
• Connect, import, and transform data for business intelligence
• Create dashboards and real-time reports to share with business users on the web and on mobile
• Use natural language querying for data visualization
• Integrate Power BI with other tools, including Microsoft Excel to connect your Excel workbooks
• Share reports and dashboards based on the Power BI desktop
• Use customized charts from Power BI marketplace
• Explore the Power BI mobile app
• Apply predictive analytics to improve business decision-making

Dec 2017 – Sep 2018 · 9 mos · Bangalore ,India

• Starcom Infotech is a visual data analytics company providing solutions in the data quality, self-service business intelligence & customer 360 views.
• Improved the existing reporting dashboards and the functionality of planning tools. Reduced data processing time by 65%.
• Assisted product team to incorporate Natural Language Querying (NLQ) & Time Series Forecasting Models like ARIMA, ETS, TBATS, HOLT Winter into Star BI. Boosting sales by 20%.
• Carried out POC and demo of Data Quality and Business Intelligence products for various clients that deal with Retail, Finance, Banking, Education, Telecom, etc, resulting in the acquisition of Pfizer, Bharti AXA, Sanlam wealth management generating $400k USD revenue per year.
• Built Cross-sell model in python using the library “Orange” and apriori algorithm achieving high Lift Ratio for Bharti AXA resulting in 15% more revenue.
• Designed 3 onsite databases and maintained a group of 25 databases. Through automation, improved efficiency by 15%, freeing up 50 labor hrs/mo.

Aug 2017 – Dec 2017 · 4 mos · Bangalore,India

• Systemonsilicon is a product based startup providing solutions in Climate-Smart & Precision Agriculture and Personalized Digital Health Analytics
• Designed crop disease detection model using DCNN based on AlexNet Architecture achieving accuracy 95.1% Solver type: Stochastic Gradient Descent, Base learning rate: 0.005, Learning rate policy: Step (decreases by a factor of 10 every 30/3 epochs), Momentum: 0.9, Weight decay: 0.0005, Gamma: 0.1, Batch size: 100.
• Created database back-ends for three mobile apps - AgroTick, MenGo, and RiteFood.
• Built automated ML model to detect Bacterial test strip and crop it from a given image using OpenCV and contour detection, resulting in a 95% reduction of manual detection and cropping time.
• Built Chatbot using IBM Watson to handle diverse health-related questions by specifying intent, entities and creating a dialog flow.