Jan 2024 – Aug 2024 · 7 mos · Bengaluru, Karnataka, India · Remote

Mar 2023 – Apr 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

• Over the period of July 2023, I have completed practical tasks in:
• Interface with a stock price data feed
• Use JPMorgan Chase & Co. frameworks and tools
• Display data visually for traders
• Bonus task: Open source contribution.

Aug 2022 – Oct 2022 · 2 mos · Hyderabad, Telangana, India · On-site

• Design an intuitive user interface using Flutter. Integrated RESTful APIs and
• managed data exchange using JSON and HTTP protocols.
• Implemented Payment Gateway, and Notification Service. Implemented GetX
• state management, which can reduce debugging log time by 75 percent.

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India · On-site

• Contributed in backfilling task(backend).
• Product dashboard which shows a heatmap with 18 prominent metrics
• (E.g :- cl_review,cl_submit_to_prod, etc) values corresponding to 1300+ binaries working in Google.
• Automated the backfilling part to backfill the NA value in dashboard if there is a hierarchy changes and triggered the data copy script and analysis.
• 2. Worked on data Analysis Project to detect anomalous datapoints(hotspots) and trend change time series data(400+ days span) w.r.t 1500+ binaries and 12 metrics present in Google workspace, surfaced these Anomalies and trend fluctuation on the PQdash front end and email reports to individual binary in which flaws are detected.
• 3. Trained different models like- IQR from ADTK,isolated forest, Outlier detector, ARIMA,autofocus (Google Inbuilt) for anamoly detection . Among which IQR serving the best results.
• For trend change - Persistent ADs positive and negative variant s used.
• Pelt serving best results for trend change detection.
• 4. Currently anomaly detection model showing anamolous hotspot for individual binary and trend detection model (change point from attention flow Google inbilt ) shows up trend and down trend from particular timestamp with each binary.

Jan 2022 – Mar 2022 · 2 mos · Bangalore Urban, Karnataka, India

• 1. Added end-to-end support for 6 user preferences in a calendar event scheduling chatbot in Microsoft Teams which will honor the individual preferences of all attendees in a meeting.
• 2. Microsoft Teams which will honor the individual performances of all attendees in a meeting.
• 3. Techstack :- HTML,CSS,Javasript,NodeJS,jQuery,AzureBot Framework, Blob storage.

Dec 2021 – Jan 2022 · 1 mo · Bangalore

• 🍭 As a Freelance Affiliate Marketing Manager for Flipkart, I developed and executed strategic campaigns to drive sales and boost brand visibility. Leveraging my expertise in digital marketing, I collaborated with influencers, optimized product listings, and analyzed performance metrics to maximize ROI. By fostering strong relationships with affiliates and identifying opportunities for growth, I successfully expanded Flipkart's affiliate network and contributed to the company's e-commerce dominance.

Jun 2021 – Jul 2021 · 1 mo · Kharagpur, West Bengal, India · On-site

• Worked with the Research and Development team of IIT KGP on the topic
• "Computer Vision Analytics and Pseudo-Symmetric Principals".
• Perform the necessary work flow operations from collecting the dataset, organization, pseudo analysis and data decomposition.

Dec 2020 – Jan 2021 · 1 mo · Noida, Uttar Pradesh, India · On-site