Feb 2024 – Jan 2025 · 11 mos · Gurugram, Haryana, India · Hybrid

• ● Led Data Science initiatives for Gymshark (a British-based multinational athletic apparel retailer) for their Customer Segmentation (Clustering), Sales / Spend / Visits Predictions (Time Series Forecasting) & Conversion Analysis (analysing and understanding the factors influencing conversions on their website) use-cases.
• ● Supervised and participated in the implementation of K-Means Clustering Model, FBProphet Model & Logistic Regression Model, respectively for the three use-cases mentioned above.
• ● Laid out the right set of practices for the EDA & data-preprocessing for all data science initiatives, eg: the choice of imputation method, range of variable analysis, right type of correlation analysis / collinearity analysis for the numerical and categorical variables, respectively. Also, laid out the guidelines on the choice of frameworks and models for faster execution and producing desired outcomes.
• ● Defined roadmaps for Segmentation and Conversion Analysis initiatives and worked very closely with the Data Scientists to realise the optimal month for beginning the clustering of the new customers on Gymshark through Silhouette Value analysis and the variables impact on conversion (target variable) through log-odds [coefficients] analysis and Random Forest based feature importance.
• ● Supervised & QC’ed the implementation of an A&R tool for the initial allocation and replenishment of the inventory across multiple offline stores of Gymshark.

Sep 2023 – Feb 2024 · 5 mos · Auckland

• Travelled to the Southern hemisphere (after too many missed opportunities to see the Pacfic-rim).
• Utilized my time running half marathons and building Prajna.

Jan 2023 – Present · 3 yrs 5 mos · India · Remote

• Prajna provides analytics and insights over data, in a conversational format. Using RASA framework at the backend, this AI aims to empower CXOs for their daily quantitative analytical needs, for which they may otherwise require Business Analysts or Data Scientists at their disposal.
• Here's a research paper published by me, on it : https://ijsret.com/wp-content/uploads/2023/11/IJSRET_V9_issue6_387.pdf

Oct 2022 – Aug 2023 · 10 mos · Hybrid

• Promoted to Product Manager
• Key achievements include platform refactoring, UX upgrades, and strategic module transitions. Developed Python-based Experiments Engine for A/B Tests, facilitated Knowledge Transfer for Cohort Analysis and Anomaly Detection models, and conducted a successful Proof of Concept for Model Generated Recommendations.
• ● Proficiency in Data Science, Python programming, statistical analysis, and model deployment contributed to Lighthouse's competitive success.

Feb 2021 – Oct 2022 · 1 yr 8 mos · Hybrid

• ● Led Data Science & Product development initiatives as a Product Owner for Lighthouse, a Decision Automation Platform. Managed SAFe 5.0 processes, conducted scrum meetings, and created impactful KPI Trees (Decision Trees) for client demos.

Aug 2020 – Feb 2021 · 6 mos · Gurgaon, Haryana, India

• ● Led AI/ML product development at Cashify, focusing on addressing customer service challenges during Covid-19.
• ● Collaborated with Operations for a Chatbot solution, implementing Cashbot that efficiently resolved 70% of queries. Addressed B2C service use-cases, utilizing NLP and Predictive Analytics.
• ● Defined data structures, utilized Rasa-X for optimal chatbot interaction, and developed a robust B2B Recommendation Engine.
• ● Maintained an outstanding attendance record, consistently contributing to AI/ML success at Cashify.

Apr 2019 – Jan 2020 · 9 mos · Gurugram

• ● As manager of the CRM micro-service J.A.R.V.I.S, played a pivotal role in creating and maintaining product features, ensuring a stable environment.
• ● Expanded product reach with the creation of the Alexa skill "Ferns N Petals" for B2C consumers, now on the Alexa store. Utilized AWS Lambda and Python for e-commerce tracking and goal conversions analysis. Launched NPS & CSat Survey engines, providing a framework for feature augmentation and technology scaling.
• ● Meticulously maintained, documented, and presented sprint velocity and progress reports. Managed stakeholder expectations, actively participated in product innovation, and drove revenue growth.

Oct 2017 – Apr 2019 · 1 yr 6 mos · On-site

• As a Product Manager for InGo-MMT, focused on platform stability and building features that would help the Finance and Customer Experience teams. The former benefitting from the integrations done to facilitate the compliance of GST and TCS and simplifying the provision of effective tariff/tax break-up on the booking emailers and invoices. The latter getting benefitted from the UX-centric features built by us and streamlining the post-sales (post-stay) communication with the consumers.
• Through an ethnographic research, via hotel visits in Mumbai and other major cities, conducted hoteliers' survey, to spin up a BI dashboard implementing search models, inventory views, and recommendation engines. All in all, enhancing the user experience and overall management of the InGo-MMT supply portal.
• Monthly stakeholder requirements guided feature development.
• Managed cross-supply integration, Augmented Rate Models, and onboarding guidelines. Devised an end-to-end communication model for B2C consumers and B2B partners, overseeing the B2B partner Host App.
• Utilized Python scripts and cron jobs for automation and regular .csv handling, showcasing expertise in data-driven decision-making, product management, and automation.
• Worked with Mastercard and other PG operators, to integrate virtual wallets / VCCs.
• Defined ideal PRD templates for the entire Product teams.

Feb 2016 – Oct 2017 · 1 yr 8 mos · On-site

• Hired for an Alt-acco LOB in MakeMyTrip called Rightstay, providing homestay and alt-acco like experiences to travellers across India.
• Led a team of content and supply onboarding specialists, defining guidelines for a QA-driven onboarding of Alt-acco supply, and QC'ing the deliverables of the team members.
• Assisted the Product & BD teams, with the needful data analysis.
• Did market visits to some existing Homestay owners in North India, and also guided the BD team in generating new leads.
• Worked regularly with the Product & Tech team, to provide feedback on the health and performance of the technology platforms, used by my team.

Apr 2015 – Feb 2016 · 10 mos · Gurgaon, India

Nov 2014 – Feb 2015 · 3 mos · New Delhi Area, India

Jul 2014 – Sep 2014 · 2 mos · Noida Area, India

Jun 2013 – Jul 2013 · 1 mo · New Delhi Area, India