Harikant Bajaj

AI Researcher

Noida, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Improved financial forecasting accuracy by 25% using data analysis.
Led research initiative increasing decision-making accuracy by 20%.
Collaborated on financial analytics framework in a hybrid environment.

Stackforce AI infers this person is a Fintech-focused Data Science intern with strong analytical skills.

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Skills

Core Skills

Data ScienceFinancial Analytics

Other Skills

Analytical SkillsArtificial Intelligence (AI)Asynchronous workAutomated Machine Learning (AutoML)Business Objects Data IntegratorC++Chrome DevToolsComputer Science EducationData StructuresData SystemsData-driven Decision MakingDatabase Management System (DBMS)Developer ToolsDiscrete MathematicsDocker Products

About

Currently pursuing a BTech in Computer Science at Bennett University with a focus on artificial intelligence and machine learning. Most recently contributed to Suvidha Foundation's machine learning initiatives, building on prior experience in data science and AI applications. Past projects include improving financial forecasting accuracy during a Sustainable Basket internship using Python, Pandas, and statistical modeling. Passionate about leveraging sustainable IT and data integration tools to drive impactful solutions. Dedicated to innovation and collaborative problem-solving in hybrid and dynamic work environments.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Suvidha foundation (suvidha mahila mandal)

Machine Learning

Jul 2025 – Aug 2025 · 1 mo

Labmentix private limited

AI ML Intern

Aug 2024 – Dec 2024 · 4 mos

Sustainable basket

Data Science Intern

Jun 2024 – Aug 2024 · 2 mos · Noida, Uttar Pradesh, India

Improved financial forecasting accuracy by 25% by analyzing e-commerce transaction data using Python, Pandas, and statistical modeling techniques, enhancing the precision of monthly revenue and return projections.
Led an independent research initiative focused on financial behavior in e-commerce, applying exploratory data analysis (EDA) and visualizations in Power BI and Seaborn, which resulted in a 20% increase in decision-making accuracy.
Collaborated in a hybrid internship environment, contributing to a real-world financial analytics framework that integrated data cleaning, trend forecasting, and KPI dashboards using Excel, Power BI, and Scikit-learn, while aligning insights with executive-level strategy.

PythonPandasStatistical ModelingExploratory Data Analysis (EDA)Power BISeaborn+4