Mohit (RID : 11jlnikksww)

AI ML Engineer

Location : Bengaluru, India,

Experience : 11 Year

Rate: $14 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 5

Total Views : 65

Key Skills

AI/ML Data Scientist Python

Discription

Mohit Sharma

Senior Data Scientist

11+ years in IT & 7 years experience in Data Science, Advanced Analytics, Deep Learning & Machine Learning on Cloud and On- Prem across domains Telecom, Banking, Marketing, Supply Chain, Times Series Forecasting, Demand Forecasting, CPG Ecommerce etc.

SKILLS

Data Scientist-AL/ML

Machine Learning: Regression XGboost, RF, Naive Bayes etc

Deep Learning

MLops in Production

NLP-BERT etc

Statistical Modelling

Time series: ARIMA, SARIMAX

Power BI, Streamlit

Demand Forecasting

Python

CNN,RNN,LSTM,BiLSTM etc

GIT: Version Control

TensorFlow, Pytorch

Data Science / Advance Analytics/ Story Telling

Neural Network

WORK EXPERIENCE

Data Scientist

07/2022 - Present, Achievements/Tasks

Worked and execute the POC search relevancy: The creation of SOW and KPI metrics.

Designing the E2E solution for the use case on Azure and worked on data of Click Stream and Claim.

Diﬀerent vertical of the POC inhouse developed: Descriptive & Predictive analysis of the above data and Conversation ratio of the search vs insurance claimed. Platform : Azure Notebook, Event hub.

Lead a team of 7 Data Scientist and cross-functioning within diﬀerent teams.

Senior Technical Lead Data Science

Caterpillar Inc. -Bangalore

09/2020 - 07/2022,

Achievements/Tasks

Deliver and develop the Machine Learning & Deep Learning and NLP solutions for inhouse and client. Hands on diﬀerent projects: Time Series, Fraud and Anomaly Detection, Sentiment analysis, Multiclass classiﬁcation. In the ﬁeld of Supply Chain, Manufacturing, E-commerce. Lead team of 10 Data Scientist.

Multiclass Classiﬁcation-Spare parts : Automated the manual process of classiﬁcation of parts having 10k classes by developing model via Deep Learning. Improved KPI: Saved $2 million/month and Average handling time reduced by 50%. Algorithms: SVC, LGBM, Random Forest, MLP, Deep Learning (LSTM). Production: Azure Notebook, GIT versioning.

Anomaly & Trend Analytics: Processes millions of transaction data from Pricing and Logistic chain billing- LOBs. KPI: Saved $4 million/month and Average handling time reduced by 6%. Algorithms: Weighted Logistic Regression, Deep learning: MLP, Learning rate, Bi-LSTM, Hyperparameter tunningForest ,Mahalanobis-Distance, etc.

Assistant Manager: Data Science

AAVAS FINANCERS LTD, India

05/2019 - 06/2020,

Achievements/Tasks

Understanding the client business domains and Formulating business problem. Designing the analytical solution and production environment.

Sentiment Analysis and Topic modelling using BERT: Feedbacks via ILSA chat bot is stored in Snowﬂake-EDW. Used pyspark for extraction and applied NLP and Topic Modelling for sentiment analysis on users feedback. Algorithms: Distil Bert - Sentiment analysis, Bertopic - Topic modeling NLP: Drain Algorithm’s etc.

WORK EXPERIENCE

Sr Data Scientist

METLIFE

12/2015 - 03/2018,

Achievements/Tasks

Supply Chain Management: Predictive modelling for maintenance and optimization of inventory. Worked on data bricks and pyspark to extract data from EDW as Snowﬂake.

Improving and suctioning of inventory management by ABC, FSN & VED inventory metrics analysis. Bucketing of Inventory Management Algorithms: Statistical modeling, K-means.