AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | 45+ Corporate Training @Deloitte @GSK @Shell @FDIC | Big data | Hadoop | MapReduce | Spark | PySpark | Aws Certified | MLOPS | PowerBI | Generative AI | Agentic AI
As a data scientist, I have dedicated my career to unlocking the power of data, uncover the hidden insight and building machine learning, deep learning, GenAI and Agentic AI based applications. Additionally I have delivered over 45+ corporate training (around 3000+ professionals) in various Organization like @Deloitte, @GSK, @Bechtel @Shell, @Capgemini, @Metlife, @Truist, @JPMorgan @Salesforce @TheKnowledgeAcademy @Wells Fargo @Elevance health @Federal deposit of Insurance corporation @Department of Education USA @Consumer financial protection bureau @Travel + Leisure @vguard @reknew @Evoke @World Bank @SLK Software and many more. Technology that I have experienced on ✅️ Python, R ✅️ Machine learning ✅️ Deep learning ✅️ Natural language processing ✅️ Big data frameworks like hive, spark, mapreduce, Kafka, Airflow ✅️ Tableau, PowerBI ✅️ Cloud platforms such as AWS, Azure, GCP ✅️ MLOps (MLFlow, Weights and Bias, Prometheus, Grafana, DVC ) ✅️ Devops Tools (Github Action, Prometheus, Grafana, CloudWatch ) ✅️ Generative AI (Langchain, LlamaIndex, Ollama, Unsloth ) ✅️ Agentic AI (CrewAI, LangGraph, Agno, N8N, OpenAI Agent Studio ) With a strong commitment to quality and innovation, I am always exploring the latest advancements in data science and machine learning to provide the best possible solutions to my clients. With my expertise, companies and students alike can transform their data into actionable insights and drive success.
Lovely Professional University
Bachelor of Technology - BTech, Computer Science
N/A – Present
The Knowledge Academy
Corporate Data Science Trainer
August 1, 2024 – October 1, 2024
London Area, United Kingdom · Remote
Imarticus Learning
Corporate Data science trainer
February 1, 2024 – May 1, 2024
Panipat, Haryana, India · On-site
Deloitte
Corporate Data Science Trainer
November 1, 2023 – December 1, 2023
Tripura, India · On-site
DataSpoof
Data Scientist
January 1, 2020 – Present
Remote
Freelancer.com
Machine Learning Engineer
January 1, 2019 – December 1, 2019
Remote
Large-Scale ML Pipeline for Ad Click Prediction & Optimization
January 1, 2025 – March 1, 2025
Built a real-time machine learning pipeline to predict ad engagement (clicks/conversions) across Samsung, Xiaomi, and TrueCaller platforms. Integrated Kafka for streaming user events, LightGBM for high-performance CTR prediction, and AWS SageMaker for scalable model deployment. Optimized ad placements to maximize CTR and ROI while minimizing model serving cost. Incorporated A/B testing and Prometheus-based observability to ensure robustness and reliability at a scale of 1B+ predictions/day impacting 10M+ users.
Making ETL Pipeline in AWS
January 1, 2023 – January 1, 2023
In this project I am pulling data from NASA API to track asteroids approaching near earth. The received data is placed in an AWS firehose and an ETL job using AWS Glue transforms this data and places it into a production table in AWS Athena. I then was able to use my production data in Grafana to build a dashboard to see various metrics related to approaching asteroids such as their velocity, size and proximity to earth!.
Characteristics of Covid waves in the United Kingdom
January 1, 2022 – January 1, 2022
In this project, I have performed EDA and data preprocessing to find out the characteristics of various covid waves like First wave, Second wave and third wave in United Kingdom.
Advanced Techniques in Brain Image Segmentation for Enhanced Diagnostic Accuracy
August 1, 2021 – September 1, 2021
This project explores advanced brain MRI segmentation techniques, integrating traditional methods with deep learning (e.g., UNet, CNNs) to enhance diagnostic accuracy, address noise and boundary issues, and support clinical decision-making.
Facial diseases Identification using deep learning
August 1, 2021 – August 1, 2021
In this project, I have performed facial diagnosis on single (beta-thalassemia) and multiple diseases (beta-thalassemia, hyperthyroidism, Down syndrome, and leprosy) and achieves an accuracy of more than 97% using the hybrid deep learning and machine learning algorithm.
Entity extraction from companies document
June 1, 2021 – June 1, 2021
In this project, I have a list of news articles about company partnerships. I need to extract which companies signed a partnership agreement on which date. I have used NLP concepts do that.
Drone Intrusion Detection using Deep learning algorithms
April 1, 2021 – June 1, 2021
This project focuses on developing advanced algorithms and sensor-based mechanisms to detect and counter drone intrusions, featuring a user-friendly interface for real-time threat monitoring, response management, and security configuration.
Arabic text Summarization using deep learning
April 1, 2021 – April 1, 2021
In this project I have taken the dataset from Aljazeera and then we perform abstractive and extractive text summarization using deep learning algorithms and machine learning algorithms
AI based Predictive Geographic Information system development
January 1, 2021 – February 1, 2021
This project develops an AI-powered Predictive GIS using satellite imagery and statistical data to forecast urban growth, detect illegal construction, and support environmental and estate planning with strong global market potential.
Land flooding risk assessment by using AI and free satellite imagery
November 1, 2019 – December 1, 2019
This project employs AI-driven analysis of free satellite imagery (e.g., SENTINEL-2) and historical rainfall data to predict flood-prone areas in the UK, aiding urban planning, real estate, and emergency response
Scam Call Detection using Deep Learning and Machine learning Algorithms
July 1, 2019 – August 1, 2019
This project leverages MFCCs and spectral contrast features with data-augmented XGBoost, Stacking, Blending algorithm and a Deep Neural Network to enhance scam call detection, advancing telecom fraud prevention and voice-based security analytics.
Product Quality Inspection by using Machine learning and computer vision algorithm
April 1, 2019 – May 1, 2019
This project explores AI-driven machine vision systems for industrial product quality inspection, leveraging image analysis and camera-based solutions to enhance defect detection in automotive sectors
Smart Blocker of Phishing Websites
February 1, 2019 – February 1, 2019
This project develops "Smart Blocker of Phishing Websites," an AI-powered real-time detection tool integrating with web browsers to block phishing URLs, deliver alerts, and dynamically update against evolving cyber threats.
Explainable Forecasting of Stock Market Trends Using Hybrid Deep Learning and Machine Learning Models
October 1, 2018 – November 1, 2018
This project leverages deep learning and machine learning models to forecast stock prices while integrating explainable AI techniques to enhance transparency, interpretability, and decision-making in financial time series analysis.
Sequence Models
Coursera
June 23, 2026 – Present
R programming
Udemy
June 23, 2026 – Present
Machine learning
Udemy
June 23, 2026 – Present
Advanced Data Science Specialist
Coursera
June 23, 2026 – Present
Advance Data Science with IBM
Coursera
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
Data Analysis with Python
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's extensive personal projects demonstrate a strong passion for machine learning and continuous learning, which aligns well with an innovative and growth-oriented culture. The breadth of applications, from ad prediction to medical imaging and environmental monitoring, shows versatility and a willingness to tackle diverse challenges. The training roles suggest a collaborative mindset and an ability to contribute to team development. The experience with AWS and Databricks indicates familiarity with industry-standard tools, which can facilitate integration into existing workflows.
Soft Skills & Operational Fit
The candidate's experience as a corporate trainer suggests strong communication and mentorship skills, which are valuable for team collaboration and knowledge sharing. The diverse project portfolio indicates adaptability and a proactive approach to learning and applying new technologies. The focus on real-world problem-solving in projects aligns with operational needs for delivering tangible business value.