Vishal Pal

Associate Consultant

Noida, Uttar Pradesh, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Mathematics and Computer Science.
Hands-on experience in Data Analysis and Machine Learning.
Currently pursuing M.Tech at IIT Kharagpur.

Stackforce AI infers this person is a Data Science professional with a focus on AI and analytics in the automotive sector.

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Skills

Core Skills

Ai AgentsData Science

Other Skills

MCPPlaywright agentData AnalysisK-Means clusteringPrincipal Component Analysis (PCA)PythonLangChainLarge Language Models (LLM)Multi-agent SystemsSnowflakeSnowflake CloudAmazon RedshiftInformaticaInformatica CloudData Warehousing

About

I possess a robust educational foundation in the dynamic intersection of Mathematics and Computer Science. Holding a B. Sc (Hons) in Mathematics from the esteemed University of Delhi and a Master's degree in Mathematics with Computer Science from Jamia Millia Islamia University, I have honed a deep understanding of both disciplines. Currently, I am immersed in advancing my knowledge and skills further through an M. Tech program at IIT Kharagpur. My academic journey has fostered a profound interest in the realms of Computer Science, Data Science, Data Analysis, and Data Engineering. With a passion for harnessing data-driven insights, I aspire to contribute meaningfully to these fields, leveraging the power of mathematical rigor and computational acumen. 🌞

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Axtria - ingenious insights

Analyst(Gen AI)

Jul 2025 – Present · 11 mos · Noida, Uttar Pradesh, India · Hybrid

MCPPlaywright agentAI Agents

Feynn labs

Machine Learning Intern

Jun 2024 – Jul 2024 · 1 mo

Electric Vehicle (EV) Market Segmentation Analysis
Analyzed the Indian Electric Vehicle (EV) market to understand customer preferences and buying behavior.
Performed data cleaning and exploratory data analysis (EDA) to identify key trends and patterns.
Applied K-Means clustering to segment customers into meaningful groups based on preferences and usage.
Used Principal Component Analysis (PCA) for dimensionality reduction and better visualization of clusters.
Implemented the complete workflow using Python to generate actionable insights for market targeting and strategy.

Data AnalysisK-Means clusteringPrincipal Component Analysis (PCA)PythonData Science