Rohit Daid
Sector 82, Gurgaon
Haryana.
Email:-Contact: -
Linkedin: www.linkedin.com/in/rohitdaid
PROFESSIONAL SUMMARY
Senior Software | Data Science Engineer with 8.2 years of experience in AI and data science, machine
learning, data analytics, and backend development.
EXPERIENCE
Bharti Airtel – Sr. Data Science Engineer
August 2021 – Present
Creating efficient data science pipelines and automation, ensuring error-free optimal
performance through strategic testing, and managing software development and documentation.
OnTrack Innovative Solutions, Mohali — Sr. Artificial Intelligence Engineer (Data Science)
October 2018 – July 2021
Collecting specifications, creating a structured and optimized codebase, and employing diverse
testing methodologies to ensure a defect-free, resource-efficient, and responsive project.
Techlive Solutions, Mohali — Artificial Intelligence Engineer (Data Science)
March 2016 – September 2018
Efficiently gather requirements, design architecture, code, test, direct programming, document,
and lead scrum sessions.
EDUCATION
C-DAC (Centre for Development of Advanced Computing), Mohali— M.Tech
July 2012 – Aug 2014, Mohali
Result - First division (73%)
Lovely Professional University, Jalandhar - B.Tech
August 2008 - July 2012
Result - CGPA - 7.25
Bhartiya Vidya Mandir, Ludhiana — Senior Secondary
May 2006 - May 2008, Ludhiana
Result - First division (63.4%)
TECHNICAL SKILLS
Data Science, Artificial Intelligence, Machine learning, Big Data, Natural language processing
(NLP), Generative AI (GenAI), Large language models, Image processing, Data Analytics,
Computer Vision,
Python, Django, Neural networks, PySpark, PostgreSQL (Relational Database), REST API
integrations, Amazon Web Services (AWS), Tableau & QlikSense (Data Analytics and
Visualizations), Airflow, Neo4j, MLFlow (MlOps), Docker, RabbitMQ, Celery, Agile, Scrum,
Jenkins.
WORK HISTORY
1. Predictive modeling on customer retention based on the customer network experience index.
Developed predictive models to enhance retention of prepaid and postpaid customers by
analyzing customer engagements and network KPIs. These models empower B2B clients to
improve network experiences and make informed decisions, boosting customer satisfaction and
reducing churn.
2. Querying data for business intelligence and hypothesis validation using Generative AI.
Leveraging Generative AI, this project automates SQL query generation for Oracle tables,
significantly speeding up hypothesis testing and enabling marketing managers to efficiently
identify customers with upcoming recharge expiries, thereby enhancing customer retention.
3. Time Series forecasting for the agent performance analysis in the mobile sim distribution
process
This project leverages time series prediction to optimize stock allocations for agents and
drivers, analyzing their past 6-month performance to forecast stock needs for the next 3 months.
Various regression models are employed to ensure accurate predictions and efficient resource
distribution.
4. CDWH (Content Data Warehouse) Regulatory for government agencies.
Developed software solutions for industry-specific regulatory compliance, automating
compliance checks, integrating data sources, and ensuring quality through collaboration with
cross-functional teams.
5. Churn Prediction Model for B2B Internet Lease Line Services.
Developed a predictive model to identify churn risks among B2B internet lease line clients,
using historical data. This proactive solution reduced churn rates through targeted retention
strategies.
6. Predictive modeling for sim box fraud management.
Developed a Python-based machine learning model to accurately detect sim box fraud across
India, using real-time data for high precision in identifying international roaming fraudsters.
7. Blood Vessel disease classification in Healthcare Domain using Machine Learning
This project uses supervised learning to accurately classify vascular and non-vascular diseases,
optimizing real-time medical diagnosis with high accuracy and low error rates.
8. Video Management & Video Analytics System for B2B video surveillance.
Developed a cost-effective video management system for seamless multi-site camera access and
implemented video analytics for B2B use cases, achieving high accuracy with minimal
computations using Python.
PUBLICATIONS
Indian Patent published on the cross-linguistic methods of fake news classification using
machine learning models.
Australian Patent published on the system and method for cross-linguistic automatic speech
recognition.
Effective scheduling in data centers for efficient CPU usage and service level agreement
fulfilment using machine learning, Connection Science · May 17, 2021 – SCI publication.
AWARDS
Associated as Guest Faculty to conduct labs at C-DAC, Mohali.
Delivered expert seminar on 5 Generation Technology (5G) at Sardar Vallabhbhai National
Institute of Technology (SVNIT), Surat, Gujarat.
Delivered expert seminar on Practical Applications of Artificial Intelligence and MATLAB at
SRM Bareilly.
