Atharva Pathak

AI Researcher

Mumbai, Maharashtra, India7 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • 78% revenue surge through data-driven insights.
  • Expert in Generative AI and Machine Learning.
  • Active mentor nurturing talent in AI ecosystem.
Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for tech-driven industries.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceData ScienceData Analysis

Other Skills

A/B TestingAI AgentsAWS SageMakerAgentic AIAnalytical SkillsAprioriArtificial Neural NetworksClassificationCloud StorageClusteringCommunicationComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)CycleGAN

About

Award-winning Data Scientist with over 7+ years of experience in Data Science, Applied Machine Learning, NLP, Computer Vision, and now Generative AI, I'm passionate about driving innovation and nurturing talent across the AI ecosystem. I help companies by turning raw data into meaningful insights and am responsible for a whopping 78% surge in revenue. I have pursued a Master’s in Data Science from LJMU, UK. I am an active mentor and a Data Science teacher. Technical Skills: • Programming & Scripting: Python (NumPy, Pandas), SQL, PySpark, Excel • Data Analysis & Visualization: Statistical Analysis, Predictive Analytics, Data Mining, Data Modeling, Data Visualization • Machine Learning & AI: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Predictive Modeling, Statistical Modeling, Regression (Linear, Logistic), Classification, Clustering, Ensemble Methods, Random Forest, Gradient Boosting, XGBoost, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees • Deep Learning Frameworks: TensorFlow, PyTorch, Keras, Neural Networks • Natural Language Processing (NLP): NLTK, Transformers, Language Models, Text Classification, Named Entity Recognition (NER) • Cloud Platforms & Tools: Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure • Generative AI & LLMs: Large Language Models (LLMs), Generative AI (Gen AI), Retrieval-Augmented Generation (RAG), Vector Databases, Fine Tuning, AI Agents Some Examples of my work include: • Utilized Logistic Regression & the Random Forest Ensemble model to implement churn/attribution models, resulting in a 20% reduction in churn rate • Boosted revenue by 20% through the development of an automated product recommendation engine, fostering longer page interactions for users Offering Mentorship: • Students/Freshers: Jumpstart your Data Science and AI career •Professionals: Accelerate your growth in ML/AI, including Gen AI I love applying my Data Science & Machine Learning experience to help tech companies reach high growth to further scale their business and I get excited about opportunities where I'm able to leverage big data to discover insights and identify patterns that have real human impact. My mission is to turn AI research into real-world solutions and help grow along the way. Let's connect and explore how we can leverage state-of-the-art AI to transform careers and businesses. Give me a shout at atharvapathakb2w@gmail.com or here on LinkedIn to turn cutting-edge technology into real-world success and discuss how my skills and experience can contribute to your team's success!

Experience

7 yrs 5 mos
Total Experience
3 yrs 2 mos
Average Tenure
1 yr
Current Experience

Data sutram

Senior Data Scientist | Python, SQL, AI, ML, NLP, Gen AI, LLM

Jun 2025Present · 1 yr · Mumbai, Maharashtra, India · On-site

  • Technologies: Machine Learning, Python (Numpy, Pandas, Scikit-Learn), SQL, Artificial Intelligence, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Fine Tuning, AI Agents, Agentic AI
Machine LearningPythonSQLArtificial IntelligenceGenerative AILarge Language Models+4

Ipg mediabrands

Data Scientist Manager | Python, SQL, AI, ML, NLP, Gen AI, LLM

Jan 2023Jun 2025 · 2 yrs 5 mos · Mumbai, Maharashtra, India · On-site

  • Utilized Logistic Regression & the Random Forest Ensemble model to implement churn/attribution models, resulting in a 20% reduction in churn rate
  • Conducted A/B testing and analyzed user behavior to identify opportunities for product optimization, resulting in a 20% increase in user engagement
  • Boosted revenue by 20% through the development of an automated product recommendation engine, fostering longer page interactions for users
  • Pioneered sales forecasting with an ARIMA algorithm, achieving an 82% data-driven decision accuracy rate & a 20% revenue increase
  • Directed a team of data scientists in developing models to optimize marketing strategies, resulting in a 15% increase in customer acquisition and a 10% improvement in campaign ROI
  • Employed sentiment analysis using (NLP) to extract actionable insights from customer feedback data, resulting in a measurable increase in customer satisfaction metrics
  • Collaborated with cross-functional teams to deploy predictive maintenance models, reducing equipment downtime by 25%
  • Presented findings and recommendations to senior management, translating technical insights into actionable business strategies.
  • Led the design & implementation of an ETL pipeline using Snowflake, S3, & Python libraries NumPy & Pandas, achieving a 30% reduction in human intervention.
  • Enhanced data transfer efficiency by 27% through remodeling Snowflake views using Snowflake SQL
  • Developed & implemented Data Migration, Data Transformation, & Data Validation Stored Procedures in Snowflake, achieving 30% time savings for the team
  • Technologies: Machine Learning, Python (Numpy, Pandas, Scikit-Learn), Deep Learning, Natural Language Processing, SQL, Predictive Modeling, Statistics, Data Analysis, Statistical Modeling, TensorFlow, Predictive Analytics, Artificial Intelligence, Linear Regression, Logistic Regression, Decision Trees, Neural Networks, PyTorch, Keras, AWS, XGBoost, NLTK, Excel, K-Nearest Neighbors, Support Vector Machines
Machine LearningPythonSQLLogistic RegressionRandom ForestA/B Testing+5

Ltimindtree

2 roles

Junior Data Scientist | Python, SQL, AI, ML, DL and NLP

Promoted

Jan 2019Jan 2023 · 4 yrs · Mumbai, Maharashtra, India · On-site

  • Created predictive models using regression, decision trees, & machine learning to forecast customer churn, resulting in an 18% reduction in churn rate
  • Administered exploratory data analysis (EDA) to identify patterns and trends in large datasets, informing business decisions related to product pricing and market segmentation
  • Boosted data processing efficiency by 40% & enabled real-time analytics by automating data pipelines using Python & Apache Spark
  • Cooperated with software engineers to integrate machine learning models into production systems, ensuring scalability and reliability
  • Technologies: Machine Learning, Python (Numpy, Pandas, Scikit-Learn), Deep Learning, Natural Language Processing, SQL, Predictive Modeling, Statistics, Data Analysis, Statistical Modeling, TensorFlow, Predictive Analytics, Artificial Intelligence, Linear Regression, Logistic Regression, Decision Trees, Neural Networks, PyTorch, Keras, AWS, XGBoost, NLTK, Excel, K-Nearest Neighbors, Support Vector Machines
Machine LearningPythonSQLPredictive ModelingExploratory Data AnalysisData Pipelines+2

Data Analyst | Python, SQL, AI and ML

Jan 2019Jan 2019 · 0 mo · Mumbai, Maharashtra, India · On-site

  • Exercised Python, SQL, and Excel for data wrangling in market analysis and financial reporting, leading to a 30% efficiency boost and improved decision-making
  • Identified key trends in data by visualizing a limited amount of data using Python libraries such as Matplotlib & Seaborn
  • Streamlined data transformation, resolving data quality, performance issues, & data mapping challenges within a few hours
  • Developed an API to streamline data retrieval, reducing manual effort by 50%, enhancing data processing with automated entry, real-time syncing, & improving productivity by 60%
  • Propounded findings and recommendations to the management team, demonstrating the value of data-driven decision-making
  • Technologies: Machine Learning, Python (Numpy, Pandas, Scikit-Learn), Deep Learning, Natural Language Processing, SQL, Predictive Modeling, Statistics, Data Analysis, Statistical Modeling, TensorFlow, Predictive Analytics, Artificial Intelligence, Linear Regression, Logistic Regression, Decision Trees, Neural Networks, PyTorch, Keras, AWS, XGBoost, NLTK, Excel, K-Nearest Neighbors, Support Vector Machines
PythonSQLData AnalysisData Visualization

Education

Liverpool John Moores University

Master of Science - MS — Data Science (Generative AI)

Jan 2022Jan 2024

International Institute of Information Technology Bangalore

Post Graduation - PG — Data Science (Deep Learning)

Jan 2021Jan 2022

K. J. Somaiya Institute of Technology

Bachelor of Engineering - BE — Electronics and Telecommunication Engineering

Jan 2015Jan 2019

Ramniranjan Jhunjhunwala College (Autonomous)

Higher Secondary Education — Science

Jan 2013Jan 2015

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