Summary
Overview
Work History
Education
Skills
Projects
Accomplishments
Certification
Hobbies
Timeline
Generic
Sanskar Narlawar

Sanskar Narlawar

Summary

I'm passionate about probability, machine learning and programming. I like to apply critical thinking skills in mathematics and programming to solve complex problems. Exploring machine learning as it seems like a field that aligns with my interests. Looking forward for opportunities in cutting edge machine learning projects

Overview

2
2
years of professional experience
1
1
Certification

Work History

Graduate Analyst

Deutsche Bank
07.2023 - Current
  • Developed a tool leveraging machine learning to detect patterns, reducing the need for manual reconciliation
  • Performed data extraction, data transformation, model training, hyper parameter tuning and deployment
  • Rewriting legacy code base utilizing core Java features, which processes data from various source systems

Data Analyst Intern

Dr Reddy's Laboratories
05.2022 - 07.2022

• Worked in a team of 2 to study the implementation of AI/ML in 10+ healthcare startups

• Analyzed the use of NLP to gauge sentiments in 25+ geographical regions through tweets

• Researched the applications of computer vision to detect and monitor patient’s posture Execution

• Deployed HuggingFace’s Emotion-Recognition model using OpenCV on a live video feed

• Utilized deep resolution model to collocate emotions and detect faces from large distance

Education

B.Tech. - Chemical Engineering

Indian Institute of Technology Bombay
06-2023

Skills

  • Machine learning
  • Tensor Flow
  • NLP (Natural Language Processing)
  • Computer vision
  • Competitive programming
  • Python
  • C
  • Java

Projects

Natural Language Processing:

  • Built a emojifier which recommends emoji for a given text, using word vector embeddings and LSTM
  • Created a Neural machine translation model to translate human readable dates to machine readable dates using attention mechanism

Credit Card Fraud Detection:

  • Employed random under-sampling, bagging and boosting to overcome the problem of skewness in dataset.
  • Compared classification models based on ROC-AUC score; achieving max score of 0.998 on Neural Network.

Accomplishments

  • Secured 911 rank in JEE Mains
  • Secured 1545 rank in JEE Advanced
  • Rated 1574 on Code Forces

Certification

  • TensorFlow Developer Professional Certificate

Hobbies

  • Playing poker and chess
  • Listening to music and watching sitcoms

Timeline

Graduate Analyst

Deutsche Bank
07.2023 - Current

Data Analyst Intern

Dr Reddy's Laboratories
05.2022 - 07.2022

B.Tech. - Chemical Engineering

Indian Institute of Technology Bombay
Sanskar Narlawar