A Data Analytics and Data Science enthusiast with a strong foundation in SQL, Python, Machine Learning, Power BI, and PostgreSQL. I specialize in transforming raw data into meaningful insights, building interactive dashboards, and developing predictive models that support smarter decision-making.
I am an M.Sc. Information Technology graduate with a passion for uncovering insights hidden within data. Throughout my academic journey, I have developed strong analytical and problem-solving skills by working on real-world datasets, creating business intelligence dashboards, and building machine learning applications.
My interest lies at the intersection of Data Analytics and Data Science, where data can be transformed into actionable strategies and predictive solutions. Over the years, I have gained hands-on experience with SQL, Python, Power BI, PostgreSQL, Excel, and Machine Learning technologies.
From forecasting e-commerce sales trends to analyzing delivery performance and developing AI-powered chatbot solutions, I enjoy solving complex problems through a combination of data analysis, visualization, and predictive modeling.
I am currently seeking opportunities where I can contribute my analytical skills, continue learning from industry professionals, and help organizations make informed, data-driven decisions.
A blend of analytical, technical and visualization skills built through hands-on projects and academic work.
Hands-on data analytics initiatives focused on business intelligence, machine learning, and predictive analytics.
Currently building practical expertise through academic projects and hands-on data analytics initiatives focused on business intelligence, machine learning, and predictive analytics.
End-to-end analytics, ML and BI projects built on real-world business datasets.
Developed an end-to-end analytics solution to evaluate sales performance and forecast future business trends. Leveraged Python, Pandas, NumPy, and Scikit-learn for data preprocessing and predictive modeling, while Power BI dashboards provided actionable insights into revenue growth, customer behavior, and sales performance.
Designed and developed an AI-based chatbot capable of understanding user intent and generating relevant responses. Built a Feed Forward Neural Network using PyTorch and applied Natural Language Processing techniques to improve conversational accuracy and user interaction.
Created a logistics analytics solution to identify delivery bottlenecks and shipping inefficiencies. Conducted data cleaning, SQL analysis, and KPI reporting, revealing key factors contributing to delayed deliveries and helping improve operational visibility.
Built an interactive business intelligence dashboard that tracked revenue, product performance, and regional sales metrics. Developed SQL-based data pipelines and visual reports to uncover sales trends, top-performing products, and growth opportunities.
KES Shroff College, Mumbai
KES Shroff College, Mumbai
I am actively exploring opportunities in Data Analytics, Business Intelligence, Data Science, and Machine Learning. Whether you're looking for a data-driven problem solver, a dashboard developer, or someone passionate about turning data into business value — I'd love to connect.
mohit.gohil.oct04@gmail.com