Jatin .

Data Scientist

New Delhi, Delhi, India4 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and NLP solutions.
Proven track record in developing AI-driven platforms.
Strong leadership and communication skills.

Stackforce AI infers this person is a Data Scientist with expertise in AI-driven solutions for EdTech and Fintech industries.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningComputer Vision

Other Skills

AWSAdobe Creative SuiteAdobe IllustratorAdobe Indesign CCAdobe PhotoshopAmazon Web Services (AWS)AndroidAndroid StudioBloggingCascading Style Sheets (CSS)Chatbot DevelopmentCloud DeploymentData AnalysisDjangoFlask

About

A Passionate Data Scientist | ML Expert | Innovator With around 3 years of hands-on experience, I excel in crafting impactful Machine Learning (ML) solutions. My expertise spans a diverse range of technical domains, including Statistics, Data Science, and cutting-edge technologies like Large Language Models (LLMs). Key Highlights: ML Techniques: Proficient in Deep Learning, NLP, specializing in Large Language Models (LLMs) using Python, PyTorch, and TensorFlow. Project Domains: From Statistics and Data Science to Computer Vision and Deep Learning, I've contributed to projects encompassing Text Classification, Image Recognition, Multimodal applications and NLP. Frameworks & Tools: Mastery in PyTorch, TensorFlow, Keras, and other tools like OpenCV, Flask, and Docker. Well-versed in cloud platforms such as GCP and AWS. Database Expertise: Adept with databases like PostgreSQL, MySQL, MongoDB, and more, ensuring optimal solutions for diverse project needs. Tech Stack: From Windows to Linux, PyCharm to Jupyter Notebook, GitHub to GitLab, my tech stack is as diverse as the challenges I tackle. Interpersonal Skills: Proven leadership, effective time management, and clear communication have played pivotal roles in my successful project outcomes. Continuous Learner & Innovator: Enthusiastically exploring the latest technologies to integrate them into the ever-evolving landscape of data science. Let's connect to explore opportunities for collaboration and innovation in the dynamic world of data science!

Experience

Knowledge excel

Data Scientist

Sep 2024 – Present · 1 yr 6 mos · Delhi, India · On-site

Working on AI agents and some other exciting stuff!

Mythyaverse

AI Engineer

Feb 2024 – Aug 2024 · 6 mos · Noida, Uttar Pradesh, India · On-site

Worked on development of an advanced AI interview platform, incorporating features like proctoring analysis to monitor candidate behavior, Resume analysis for streamlined candidate screening, and dynamic Prompt generation to enhance interview customization.
Built chatbots using Advanced RAG and successfully deployed them on the cloud, providing efficient, scalable interaction for various user queries.
Leveraged the power of OpenAI API and Open-source Llama 3.1 models to create sophisticated NLP solutions.

OpenAI APINLPPrompt EngineeringCloud DeploymentChatbot DevelopmentNatural Language Processing (NLP)+1

Mnc group - pt mnc asia holding tbk

AI/ML Engineer

Aug 2022 – Jan 2024 · 1 yr 5 mos · Gurugram, Haryana, India · On-site

Motion Pay (E-KYC)
Implemented an end-to-end solution for motion pay application which involves OCR service with high accuracy on KTP cards and selfie image liveness recognition with high accuracy rate.
Internalized E-KYC service at Motion Pay which replaced third-party solutions and achieved efficiency, cost savings while maintaining rigorous identity verification standards.
Technology used: Pytorch, OpenCV, Yolov8, MediaPipe, Onnx, Flask, GCS, Docker.
RCTI+ (OTT Recommendation)
Implementation of Personalized Recommendation system to enhance user watching experience and to increase customer retention using content-based filtering and collaborative filtering algorithms.
Improved content exploration by strategically incorporating trending and popular recommendations into the user interface, reducing decision fatigue and increasing user satisfaction.
Handled complex, highly interconnected OTT data through graph database technology, and gremlin queries.
Implemented with S3, AWS Neptune Database, Redis, MongoDB, with Flask framework for large-scale data processing.