Himanshu Jain
Data Engineer @Bestpeers
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WORK HISTORY
Data Engineer @Bestpeers
Indore, IN
Designed a data enrichment pipeline for U.S. well extraction data using Python microservices.Built modules for kick detection, mud weight estimation, and geo-coordinate enrichment.Deployed workflows using PostgreSQL, Jenkins, Ansible, Fargate, and AWS S3.Worked in Agile sprints using Git and Azure DevOps for CI/CD and issue tracking.Technologies: Python, PostgreSQL, AWS Fargate, Jenkins, Ansible, Git, Azure DevOps
EDUCATION
School of Data Science and Forecasting | DAVV University (NAAC Grade: A+)
Master's degree, Data Science and Analytics
St. Thomas Higher Secondary School
High School/Higher Secondary Certificate
Govt. Holkar Science College A.B. Road, Indore
B.sc electronics, Maths Electronics and Physics
ABOUT HIMANSHU JAIN
Data Engineer & Data Scientist with 3+ years of experience designing and building scalable data pipelines, predictive models, and business intelligence solutions.I specialize in using Python, SQL, and cloud technologies (GCP, AWS) to process, transform, and analyze large datasets. I’ve developed ETL pipelines, built click propensity ML models, automated reporting workflows, and created interactive dashboards that drive marketing and operational performance.My recent experience includes- Developing a Python-based enrichment pipeline for U.S. well extraction data using microservices and AWS (Fargate, S3)- Automating daily campaign reporting across DSPs (DV360, TTD, Meta) using Python, BigQuery, and Cloud Functions- Creating a logistic regression model to predict user clicks using clustering (KMeans), SMOTE, and Scikit-Learn- Building DevOps analytics dashboards integrating SonarQube, GitHub, Jira, and Slack.I am passionate about using data to drive business impact and help companies make informed decisions through machine learning and advanced analytics. Technical Skills: Python, SQL, BigQuery, PostgreSQL, Scikit-Learn, Power BI, GCP, AWS Bedrock, Git, Ansible, Jenkins 🧠 ML: Logistic Regression, Clustering, SMOTE, Feature Engineering BI: Power BI, Google Data Studio, Excel DevOps & Automation: Gathr, SonarQube, GitHub API, Jira API, Slack APIOpen to opportunities in Data Science, Data Engineering, and ML Engineering.Let’s connect and collaborate on data-driven solutions!
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