Harendra Ranjan

Data Scientist

New Delhi, Delhi, India4 yrs 5 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in Machine Learning and NLP with 4 years of experience.
Proven track record in developing intelligent AI solutions.
Skilled in deploying end-to-end ML pipelines and workflows.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning solutions.

Contact

+919821961373 LinkedIn

Skills

Core Skills

Machine LearningNlpGenerative AiAgentic Ai

Other Skills

Amazon Web Services (AWS)AnacondaAnt DesignAppwriteAtlassianBootstrapCC++Cascading Style Sheets (CSS)ChatGPTComputer ScienceData EngineeringData StructuresDatabase Management System (DBMS)Deep Learning

About

I’m a Data Scientist with 4 years of experience specializing in Machine Learning, Natural Language Processing (NLP), Generative AI, and Agentic Systems. My passion lies in transforming raw data into intelligent, scalable solutions that solve real-world challenges. Over the years, I’ve worked on diverse projects involving LLM fine-tuning, text analytics, predictive modeling, and intelligent automation— leveraging tools like Python, LangChain, Hugging Face, TensorFlow, and PyTorch. I thrive at the intersection of data, AI, and innovation, continuously exploring how next-generation AI models can drive business efficiency and human-like reasoning. My goal is to build systems that don’t just analyze data — but think, learn, and act. 🚀 Core Focus Areas: Machine Learning & Deep Learning Natural Language Processing (NLP) Large Language Models (LLMs) & Generative AI Agentic AI Systems & Autonomous Workflows Model Deployment & MLOps

Experience

4 yrs 5 mos

Total Experience

4 yrs 5 mos

Average Tenure

4 yrs 5 mos

Current Experience

Botex ai

Software Engineer

Jan 2022 – Present · 4 yrs 5 mos · D1/338, FIRST FLOOR, NEW KONDLI, MAYUR VIHAR-III, NEW DELHI-110096 · Hybrid

Data Scientist
(Duration – Present)
Key Responsibilities:
Developed and deployed Machine Learning and NLP models for data-driven decision-making and automation.
Designed and fine-tuned Large Language Models (LLMs) and Generative AI systems to enhance business intelligence and conversational capabilities.
Built agentic AI workflows integrating reasoning, retrieval, and autonomous task execution.
Conducted data preprocessing, feature engineering, and model optimization using Python, Scikit-learn, TensorFlow, and PyTorch.
Implemented end-to-end ML pipelines, from data collection and model training to evaluation and deployment (MLOps).
Collaborated with cross-functional teams to translate business problems into AI solutions.
Leveraged LangChain, Hugging Face, and OpenAI APIs for building intelligent applications.
Communicated findings effectively through data visualization and analytical storytelling.
Key Skills:
Machine Learning • Deep Learning • NLP • Generative AI • LLMs • Agentic AI • Python • LangChain • Hugging Face • Data Engineering • Model Deployment