I help businesses make smarter decisions using Data Analytics, Machine Learning, AI Automation & Web Technology.
I am a Data Scientist, AI Automation Engineer, and Python Developer with over one year of hands-on industry experience. I specialize in building real-world, production-ready systems that solve business problems and deliver measurable impact.
Over the past year, I have designed and implemented multiple automation tools, data pipelines, and dashboards for my organization. I also develop Django-based web applications that are live and actively used, integrating AI and data analytics for smarter decision-making.
My technical expertise includes Python, Django, Data Science, Machine Learning, Deep Learning, Data Analytics, and Visualization. I work with Pandas, NumPy, SQL, Power BI, Matplotlib, Seaborn, and AWS EC2 to deliver efficient and scalable solutions.
I combine technical knowledge with business understanding in Accounting, GST, TDS, and ERP planning, ensuring that every system I build is reliable, scalable, and aligned with real-world business needs.
My journey from where I started to where I am today has not been easy. Transitioning from a factory environment to a corporate workspace required determination, adaptability, continuous learning, and a strong work ethic.
I began my career in 2023 as a Quality Control Supervisor at KEPL. Although my tenure was short (around 2–3 months), the experience was valuable. From the beginning, my long-term goal was to build a career in the IT sector. I was fascinated by software and driven by the idea of creating solutions that could help others or improve processes for myself. With this clarity, I decided to step away and pursue my interest.
I then enrolled in the Raah Foundation Business Associates Course, a one-month employment-oriented program offered by Raah Foundation (NGO). Upon completing the program, I was offered an entry-level position.
After completing the course, I was offered the role of Technical Trainer (Computer & Tally). At the same time, with support from Raah Foundation, I also received an offer from an American-based MNC. I chose to join Raah Foundation, where I trained and mentored many students, sharing my knowledge and professional experience.
During this phase, I formally began my IT journey by learning Python and developing skills required for Data Science and Python-based solution development.
After one year, I decided to gain hands-on exposure to real-world business data and processes. I joined Pentagon Group as an Accounts Officer, where I learned how industry-level software and systems operate. I applied my technical skills—Python, data analysis, forecasting, and advanced Excel—to support management in making data-driven decisions.
To further expand my industry experience, I later joined Vinod Textiles, where I currently work as a Data Scientist. My role involves building customized, data-driven solutions aligned with organizational needs and growth objectives.
Currently, I am developing a web application that enables individuals and small businesses to upload their data and generate insights automatically without human intervention. For advanced requirements, I also provide enterprise-level customization, and organizations can collaborate with or hire me for tailored solutions.
I believe not only in hard work or smart work—but first and foremost, in work itself.
“Data tells the story; we just have to listen.”
ML model to predict real-estate prices using regression.
Predict customer retention using classification models.
Automated chatbot for customer interaction & support.
Clean data, insights, dashboards & reports.
Prediction models & intelligent systems.
Automated reports, scripts & workflows.