Sandeep Rathore
Indore
Summary
Data Scientist accomplished in compiling, transforming and analyzing complex information. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Exposer to work at client location in USA(Detroit) and Italy(Turin). Total Experience of 15 Years and 8 Months.
Overview
16
16
years of professional experience
1
1
Certification
Work History
Machine Learning Engineer
Persistent Systems Ltd.
05.2022 - Current
- Client: GOI(Government of India).
- Project: Adaptive CyberSecurity Defense System(ACDS)
- Building cybersecurity defense system leveraging AI/ML
- This work involve R&D to understand the attack patterns and referring white papers and past studies on cybersecurity area
- Worked on various use cases to build an end-to-end robust cybersecurity defense system.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Streamlined data ingestion pipelines by automating repetitive tasks, reducing processing times significantly while maintaining high-quality outputs.
- Mentored junior engineers on best practices in data engineering, machine learning model development, and deployment strategies, contributing to their professional growth and overall team success.
Data Scientist
Tata Consultancy Services
12.2017 - 04.2022
- Client: Stellantis(Formaly know as Fiat Chrysler Automobiles)
- Project: AfterSales(Service Contract and Warranty)
- Built GLM pricing model for automotive service contract pricing
- Helped business to take more accurate pricing actions
- Built warranty and service contract claim cost estimation model using GLM and Time Series
- Built service contract sales forecasting model using Time Series
- Built sentiment analysis model using NLP to understand the sentiment of business customers based on feedback received on IT services
- Worked with TCS R&D team to build a tool to prepare and transform data to run different machine learning supervised and unsupervised algorithms.
- Streamlined data collection methods to minimize analysis errors.
- Conducted thorough exploratory data analyses for robust model building.
- Participated actively in interdisciplinary teams'' work integrating domain knowledge from marketing, sales or finance departments into the analytical process.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Designed interactive dashboards and reports, providing real-time business intelligence to stakeholders.
- Simplified complex data sets into actionable insights for executive decision-making, enhancing strategic planning.
Data Analyst
Tata Consultancy Services
11.2009 - 11.2017
- Client: Stellantis(Formaly know as Fiat Chrysler Automobiles)
- Project: AfterSales(Service Contract and Warranty)
- Built visually powerful and actionable interactive reports and dashboards for senior managers and business directors using tools like Qliksense/Qlikview/Cognos
- Involved in entire product life cycle development from requirement gathering through implementing in production
- Worked with Data Modeler and DBAs to build the data model and table structures
- Actively participated in discussion sessions to design the ETL job flow
- Compiled source to target mapping documents to design the ETL jobs
- Developed SQL Scripts to validate the data after the loading process
- Proficient in writing complex SQL to extract data from source system using (join/union/partition/index).
Mainframe Developer
Tata Consultancy Services
11.2008 - 10.2009
- Client: Stellantis(Formaly know as Fiat Chrysler Automobiles)
- Project: AfterSales(Service Contract and Warranty)
- Attended initial learning program in TCS on Mainframe
- Mainframe application support project
- Supporting mainframe-based IRS (Income Recognition Application)
- Looking after tickets and resolving the issue based on priority, following SLA driven model
- Creating Quality gate documents (Business requirement and quality gate documents).
Education
B.E. - Electrical, Electronics And Communications Engineering
Rajasthan University
Jaipur, India07.2008
XIIth -
Emmanuel Mission School
Kota, India01.2002
Xth -
Emmanuel Mission School
Kota, India01.2000
Skills
- Machine Learning Algorithms
- Python Data Analytics
- Tensorflow
- Data Analytics
- Data Warehousing
- SQL Database
- Cognos
- Qlik Sense Development
- Airflow
- Mlflow
- GenAI
- Linux
- Langchain
- Natural Language Processing
- Feature Engineering
- Model Development
- Clustering Algorithms
- Random Forests
- Decision trees
- Support Vector Machines
- Project Management
- K-Nearest Neighbors
- Ensemble Methods
- Unsupervised Learning
- Anomaly Detection
- Graph Theory
- Big Data Analytics
- Supervised Learning
- Machine Learning Integration
- Problem-Solving
- Teamwork and Collaboration
- Data Visualization
- Analytical Skills
- Problem-solving aptitude
- Docker
- Github
Languages
Hindi
English
Personal Information
Total Experience: 15 Years 8 Months
Extracurricular Activities
CSR - Lead CSR activities at Indore location, Worked with local NGOs to drive different initiative (one book one smile, Cloth distribution etc)
Sports Committee - Lead Sports committee at Indore location in Persistent. Conducted Carrom, turf cricket tournamnets. Also lead game in Persistent Annual Pulse event.
Hobbies and Interests
- Football
- Cricket
- Volleyball
Certification
- Certified AWS Practioner, AWS
- Certified PSM II, Scrum.org
Timeline
Machine Learning Engineer
Persistent Systems Ltd.
05.2022 - Current
Data Scientist
Tata Consultancy Services
12.2017 - 04.2022
Data Analyst
Tata Consultancy Services
11.2009 - 11.2017
Mainframe Developer
Tata Consultancy Services
11.2008 - 10.2009
B.E. - Electrical, Electronics And Communications Engineering
Rajasthan University
XIIth -
Emmanuel Mission School
Xth -
Emmanuel Mission School
- Certified AWS Practioner, AWS
- Certified PSM II, Scrum.org
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