Vikash Kumar — Director of Engineering

14 yrs. of experience in building data products using agentic ai, machine learning, predictive analytics and deep learning with ultimate goal of operational optimisation, data monetisation, timely insights and enhance user experience. Worked closely with CEO, CTO, CDO office collaborating across different functions – telematics, program managers, marketing, strategy, sales, energy systems, customer care, simulations, security and infrastructure team in addition to external partners to drive collaboration and decision making by use of analytical data products and insights. SME of Data Science Lifecycle, algorithms, MLOps and methodologies - CRISP-DM, TDSP ( Team Data Science Process) Built and lead Data Science team – been pivotal in making data driven company – example pre /post sales of vehicles. A culture of innovation and curious minds by exploring existing internal data, mashing up with 3rd party and enabling new data capture. Conducted a live hands-on session on CNN at Data Hack Summit conducted by Analytics Vidhya (Nov-2017) Stood 4th in predicting Exacerbation patients in Crowdanalytix competition Stood 137th Rossmann Sales Prediction in Kaggle Competition Innovative and eager to take up responsibility at work place with ability to initiate discussion, resolve problem and learn new methods/tools with minimum assistance. Tools/ Languages : AWS - Bedrock, Sagemaker Studio, Sagemaker Pipelines, Python, SQL, Pytorch, Tableau, OpenCV, R, Github, Trello, S3, Athena, Agile, Jira Domains : Retail, FMCG, Electric Vehicles, Mobility, IoT, Healthcare, Insurance, Manufacturing Algorithms/ Techniques : Langchain, LanGraph, MCP, CICD, LLMs, Agent Evaluations, Linear Regression, Logistic Regression, Dimensionality Reduction - PCA, Clustering- KMeans, DBScan, XGBoost, Ensemble Learning, Data Mining, Explainable AI- SHAP, LIME, Random Forest, Association Rules, LSTM, RNN, DeepAR, Transformers, Natural Language Processing, Statistics, Deep Learning, Time Series, Exploratory Data Analysis, MLOps

Stackforce AI infers this person is a Data Science and AI expert in the FMCG and Healthcare sectors.

Location: Philadelphia, Pennsylvania, United States

Experience: 14 yrs 4 mos