HIMANSHI THAKKAR
Associate Process Manager
Gurugram
Summary
Data Science and Automation expert with 3+ years of work experience in IT industry and excellent track record in collaboration across departments to implement business processes automation and other requirements. Strong operations professional with Master of Technology focused in communication and signal processing from Indian Institute of Technology, Mandi. Worked in numerous projects involving Machine Learning, NLP, Image Processing, Web Scrapping,Data Visualization and text analytics. Enthusiastic to work in challenging Data Science Projects.
Overview
3
3
years of professional experience
6
6
years of post-secondary education
Work History
Associate Process Manager
Eclerx Services Ltd
Mumbai
10.2020 - Current
- Developed internal tools for text mining and web crawlers for collecting data by python and SQL from various data sources
- Developed python programs to automate data flow on day-to-day basis and deployed using web applications in production
- This reduced manual efforts to do KYC
- Developed complete flow for KYC platform for financial institutions to gather data, respective documents, annotate them according to business requirements and document merge using python, flask, and MSSQL
- Designed machine learning systems to automate data extraction from particular document
- Worked with eClerx team to take cutting-edge research and turn it into excellent products and services
- Collaborated with multi-disciplinary product development teams to find possibilities for performance improvement
- Worked on Document Ingestion API flow to deliver KYC documents to clients in base64 format on their end and deployed it in production using flask
- Developed Negative News Screening module using NLP techniques such as Tokenization, Lemmatization, POS Tagging,
- Named Entity Recognition
- Worked on string Matching Algorithm using NLP-Techniques such as TF-IDF
- Developed OCR for invoice & utility bill extraction using deep learning approach
- Deployed codes in production using virtualization techniques.
Intern
Machine Learning, US traffic
12.2019 - 06.2020
- Project (Continental, BLR), Worked as Machine Learning intern and worked on project ", Sign Recognition" using python scripting language
- Frameworks used: Tensorflow, Keras
- Automated process of labelling rectangular boxes for text written on the signboard dataset
- Textboxes++ model was implemented for training on continental US Traffic signs(which has text written on them) datasets
Education
Masters of Technology - Signal Processing and Communication
Indian Institute of Technology, Mandi(IIT Mandi
Himachal Pradesh 08.2018 - 07.2020
Btech - Electronics and Communication Engineering
Kurukshetra University Kurukshetra
Haryana 01.2011 - 04.2015
Skills
Data Visualization (Power BI, Tableau)
Python, Microsoft SQL Server, NLP, Deep Learning, Machine Learning, Clustering Algorithms, pySpark
MongoDB, Web Scrapping, Text Analytics, Data Visualization , SQL, Algorithms and Data Structures, Docker, KubernetesVirtualization Techniques, data science, pdf processing, MariaDBTimeline
Associate Process Manager
Eclerx Services Ltd
10.2020 - Current
Intern
Machine Learning, US traffic
12.2019 - 06.2020
Masters of Technology - Signal Processing and Communication
Indian Institute of Technology, Mandi(IIT Mandi
08.2018 - 07.2020
Btech - Electronics and Communication Engineering
Kurukshetra University Kurukshetra
01.2011 - 04.2015
Course Projects(IIT Mandi)
- US traffic sign recognition in collaboration with Continental AG)
- Spectral-Spatial features based Classification of Hyperspectral Images
- Text to Image synthesis using GAN (Generative Adversarial Network) .
- Two-Day Deep Learning Hackathon Project under IEEE student Chapter, IIT MANDI Used some pre-trained models to make the user capable of entering some queries and get the following attributes predicted: Gender, age , Face recognition in a particular set of images
- Mini Project - Shadow removal from an image An automated tool was designed to automate the process of shadow removal from an image using computer vision techniques
- Auto-Replying Twitter Handle
- Frameworks used- Tensorflow, keras
- Tweepy for extracting data from tweets and replying to a tweet
- Flask API- to build API that will generate replies to tweets
- For data ingestion, Apache Kafka is used
- Named entity recognition
- Exploring Python data science libraries like Pandas, NumPy, and Matplotlib.