Tanmay Bhatnagar Email & Phone Number

New Delhi, Dl, In

Gurugram, Haryana, India

• Leading analytics for a product analysing organization structure using client and internal HRISbenchmark data.• Developed product’s business value proposition, metrics, and presentations resulting in over 20 clientsengagements within 6 months, helping them in making critical business decisions• Streamlined onboarding processes, codebase, standard operating procedures and maintained data integrity directlyresulting in reduced delivery timelines by 50%.• Spearheaded analytics for an award winning McKinsey analytics report involving analysis of global talent - https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-techmarket using over 350M job postings and over 60M linkedin profiles - McKinsey Technology Trends Outlook 2023• Worked on 50+ client projects involving people analytics and peer comparision of talent market usinglinkedin profiles, glassdoor reviews and job postings data which helped clients make critical business decisions

Gurugram, Haryana, India

• Helped finalise and interview candidates for both senior and junior levels inthe data science team for the company• Initiated and led the hiring of interns for data science team for a 10 weekinternship directly under me• Developed and led the deployment of customer churn model• Setup the big data warehousing using Redshift and SQL that we have currently at the company• Analysed user participation and fatigue in games, created and classified games into 4 categories. Games transferred on my suggestion are now thebest performers in battles by a factor of 8x• Assisted in game cheating prediction data analysis and deposit predictiondata collection. This analysis was used in improving model accuracy andmodel building

Bengaluru, Karnataka, India

• Worked on Anti-COVID AI. Mask detection, people tracking and reidentification• Social Distancing using computer vision• Built multi object generic tracker capable of tracking any object and reidentification of people in case of rentry into the frame and face occlusion • Solution built was demoed to various prospective clients

Bengaluru Area, India

• Worked in Computer Vision Team to build end to end solution for face detection and recognition• Solution also involves face re-identification and tracking across camera angles with face spoof detection• Designed process for collection of face spoof data• Worked on Intel OpenVINO platform to test various pre-trained models and speed up using their inference engine• Worked with third party labelling services to get data labelled• Evaluated pre-trained models along with various versions of custom built tracker on customer data

• Worked in Computer Vision team on face detection and recognition tasks involving literature review, landmark detection and labelling of data• Tested and trained various models for face detection

Bengaluru, Karnataka, India

• Worked in Computer Vision Team and used real time object detection to built real time queue management algorithm• Labelled, cleaned images and built dataset for real time person detection and checkout counter detection using YOLOv3 model• Deployed algorithm on NVidia’s Jetson Nano

Patiāla Area, India

Organised Hack-O-OWASP as the Overall Student Coordinator. Theme was Build for India by PayTM with Vice President of PayTM as Chief GuestTaught Machine Learning and Deep Learning to 1st and 2nd year students. Topics included :1. Linear and Logistic Regression with parameter insight2. Neural Networks with Backpropagation 3. Convolutional Neural Networks