Oct 2022 – Apr 2025 · 2 yrs 6 mos

Oct 2021 – Oct 2022 · 1 yr

Apr 2019 – Jul 2021 · 2 yrs 3 mos · Hyderabad Area, India

• Develops strategic employee recognition and reward solutions that help people accomplish and appreciate great work.
• Contributed in developing a long-term ML strategy to enhance existing products. This involved
• understanding existing data points captured across systems, EDA and formulation and
• feasibility-check of possible use-cases.
• Integrated a recognition and termination trackers within 'GreatWorks' to capture the monthly
• trends by department, country, gender etc. , popular factors for recognition/termination.
• Dataset preparation and modelling to predict the termination risk score,
• retention scores and rankings for each employee and related AI-assistance to alert managers of
• grievances related to lack of timely recognition or otherwise.
• Embedding the next-word prediction module in 'Thanks' trained on the appreciation/feedback
• data sourced from emails, company products etc. to suggest better motivating phrases as
• assistance to the users for faster but effective feedback.
• Implemented AWS EC2 instances to establish clusters to speed up the working of ML algorithms.
• Implemented DASK technology to parallelize the code to efficiently use each core of the cluster/local machine during execution of the implemented trackers and ML pipelines.
• Worked upon AWS S3 for updating/retrieving the data and syncing the daily work. Implemented Cronjobs for syncing the daily work automatically between local and cloud.
• Assessed ML APIs such as that of Kairos, Microsoft Graph API etc. Working on PoC to replicate their functionality using OpenCV and Deep Learning.
• Other works include leading 3 data-automation projects and enabling easier cross-platform
• development and deployment by leveraging Docker and Kubernetes.

Nov 2018 – Apr 2019 · 5 mos · Hyderabad Area, India

• HealthyHaat – Govt. certified Organic food delivery project.
• Product recommendation feature based on the overall purchase history to crosssell available
• products.
• Developed an efficient E-commerce engine using Object Oriented PHP.
• Developed and implemented our own plugin in WordPress CMS.
• Designed server-side RESTful services.
• Designed algorithm for delivery, tracking, cancellation, refund etc. processes.
• Implemented Google Map API to design our own map for live tracking of delivery persons,
• deliverables, particular area etc.
• Smart Visual Recognizer – Implemented Haar Cascade Classifier algorithm for face detection and Eigenface based recognition is used in face recognition implementation using OpenCv in python.
• Autonomous car driving, Alcoholic consumption detection while driving and work.
• Mobile device locator even when device is switched off.

Oct 2017 – Nov 2018 · 1 yr 1 mo · Gurgaon, India

• MASS : Designed a mid-stream scanning system for analyzing data generated from MFL sensors used in instrumented pipeline inspection gauges. Implemented Random-Forest, GBM for anomaly detection and Dynamic Time Warping for classification.
• Text Analytics: Implemented Naive Bayes classifier with N-gram model for sentiment analysis of public reviews collected from social media platforms and public review web pages. Implemented 7-class NER for English reviews.
• Development: Prepare a Desktop application to visualize the different different views of detected anomalies with graph playing, zooming, switching property. All these functionality is achieved by computer graphics.
• Data Crawling: Implemented twitter api to fetch live tweets, Facebook api to get text data from Facebook public pages and crawlers for various review websites using bs4, jsoup.

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

• Worked on a research project in SysEF lab of CeNSE department of IISc Bengaluru.
• Contributed to the development of prediction modules based on the IoT data collected by devices "Breath Analyzer" and "Air Pollution Monitoring Drone".
• Early diagnosis of diseases like diabetes, asthma and carbon-monoxide poisoning, alcohol intoxication
• etc. based on the predictions done on data captured by 'Breath Analyzer'.
• Developed the data communication network between IoT device and database server using Arduino as well as Raspberry pi (via wireless or GSM shield both).
• Contribution to the implementation of "Air Pollution Monitoring System", module to predict the pollution-level band of an area based on the real-time data reported by sensor-loaded drones. This module was trained on the data collected by scraping the official data released by Central Pollution Control Board of India.

Jul 2015 – Jul 2015 · 0 mo

• I learnt about HTML, Java, MySQL, JavaScript, PHP.
• Prepared a project named "Live Chatting Module" based upon java socket programming.
• Prepared an HTML project named Networking (basic website).
• Prepared a web scraper using joup package in java.

Aug 2013 – May 2017 · 3 yrs 9 mos · Jalandhar Area, India

• Implemented Stock Price Prediction using Artificial Neural Network with Statistical analysis (Jarque-Bera Test) and Pearson Relation between Company stock prices and Macroeconomic variables.
• Prediction of hand written digits using Artificial Neural Network.
• Prediction of house prices using Linear Regression. Implemented regularization, feature scaling, Cross validation and Normal Equation methods.