Oct 2021 – Jul 2023 · 1 yr 9 mos

Nov 2020 – Oct 2021 · 11 mos

Aug 2020 – Sep 2020 · 1 mo · Mumbai, Maharashtra, India

• Training young grads in Python and Machine Learning.
• Mentoring them with various career paths available in the field of Data Science and helping them in making wise Career Decisions according to their interest.

May 2020 – Sep 2020 · 4 mos · Mumbai, Maharashtra, India

• Identifying Data Science scope for the in house SaaS project. Defining the definite analytics solutions which can benefit users.
• Exploring various aspects of NLP, NLU to provide analytics solutions like finding Similarity scores between text data, extracting information from text using python libraries like Spacy, NLTK, TextBLOB, etc.
• Resume ranking model to rank Resumes on the skillsets available.
• POC – Building a Classification model to extract sentiments from Audio data.
• POC – Using FaceNet library to identify various information like Sentiments in each frame, age, gender, race from Video data.
• Obscene post-classification model: Checking for the profanity in the post.
• Building a Machine Learning model to classify post into Toxic, Insult, Identity Hate, or Threat.

Nov 2018 – May 2020 · 1 yr 6 mos · Navi Mumbai Area, India

•  Managed a team of 4 highly motivated individuals, planning and strategizing their tasks and growth w.r.t to the company’s goals.
•  Interacting with business to identify the business problem, interacting with various stakeholders to build POC for potential solutions.
•  Created and presented solutions to business which helped them in making decisions in streamlining their Sales process cycle.
•  Developed and implemented a Sales Insights Classification model, with final prescription which is helping Management in aligning their task w.r.t their future goals on behalf of historical data.
•  Recommendation System, a content-based model used by Managers to streamline future targets and products to pitch, considering the clientele database.
•  Deployed a Sentiment Analysis, POS tag, and Emotion Detection model using Machine Learning algorithms. This is helping higher management in making appropriate business decisions and thus planning the actions on the basis of data. Setting up an Architecture to deploy everything in their system and thus building an end to end solution.
•  POC -- Building a Forecasting model for people on Bench, using various forecasting algorithms.
•  POC -- Sales Forecasting for a billion-dollar retail client and presenting output in the Shiny dashboard.

Mar 2018 – Nov 2018 · 8 mos · Mumbai Area, India

• Working on a Multitude of Projects Including but not limited to:
•  Dormant/Active Client Prediction: To devise a model which can detect clients which are likely to go dormant w.r.t their trading behavior, and prevention of the same, by addressing the reasons of dormancy in R and Python. This task is running on monthly basis.
•  Mutual Fund Client Classification: Classification of current equity account holding customer into two category i.e, Client will buy Mutual Fund or will not buy Mutual Funds using R.
•  Ad-hoc Request: Retrieving and Updating data into SQL Database using Python.
•  Chatbot: Building ChatBot using Dialogflow API. Updating Contents, Intents etc

Jul 2017 – Nov 2017 · 4 mos · Mumbai Area, India

• Developed methodology to cluster SearchTerms using various Machine Learning algorithms like Deep NLP, Latent Semantic Analysis, LDA, Random Forest, Decision Tree etc.
• Optimizing Digital marketer experience by making the bidding process more efficient by making the bid on Long Search Terms.
• Clustering Keywords related to the Client project.

Dec 2015 – May 2016 · 5 mos · New Delhi Area, India

• I had worked closely with CEO and Management team to find out the loop holes in the system and back up my analysis with data and present the same in visualization tools. Analysing and finding the permanent solutions for the problems and implementing them initially on trial basis for some weeks and after analyzing the changes either to upgrade or make the changes permanent.I have worked closely with Managers to make the Business development strategies and to work accordingly. I was one of the ideal follower in the team and got many appreciations for that. My working hours was not defined for 9 hrs as I come from a workaholic genes background. Working till I achieve my goal and make progress on daily basis was the only goal