amsharmaa

Ai Intern At Phemesoft Pvt Ltd (Ibm Platinum Business Partner)

I’m Aman Sharma, a tech-savvy and business-oriented professional currently completing my integrated MBA Tech (B.Tech + MBA) at NMIMS, Mumbai. My academic and practical experience spans both the technical and managerial spectrum—equipping me with a unique dual perspective that bridges technology and business strategy.

With hands-on experience in data analytics, machine learning, and financial modeling, I've developed tools for TAM analysis, optimized ML models for ad targeting, and built dashboards to convert raw data into actionable insights. I’ve also handled market research and strategic financial analysis during internships at Care Edge Ratings and Pheme Software Ltd.

I’m currently exploring roles in Business Development, where I can leverage my combined expertise in technology and management to drive growth, uncover strategic opportunities, and align product offerings with market demand. I’m equally open to roles in Data Analysis, AI Engineering, or Strategy Consulting—especially where interdisciplinary thinking and a data-driven mindset are valued.


Experiece: 6 months

Yearly salary: $40,000

Hourly rate: $20

Nationality: 🇮🇳 India

Residency: 🇮🇳 India


Experience

Financial Analyst Intern
CareEdge Ratings
2024 - 2024
Conducted a comprehensive analysis of the health insurance sector, examining premium structures, claim settlement ratios, operational efficiency metrics and CAGR over a 5-year period to provide actionable insights for decision-making.  Conceptualized and developed two innovative Vehicle Total Addressable Market (TAM) analysis model (Sales based TAM and Penetration based TAM) to quantify market potential and identify growth opportunities in the automotive sector.  Improved financial data analysis by refining R code for outlier detection, increasing accuracy from 43% to 64% for a time sensitive data. Migrated the enhanced process from R to Python, ensuring scalability and ease of future upgrades
Technical Intern
Pheme Software Ltd
2023 - 2023
 Cleaned, transformed, and visualized datasets to derive actionable insights, supporting data-driven decision-making.  Analyzed website advertisement data using Logistic Regression, achieving a remarkable 93% classification accuracy. This analysis informed strategies for optimizing advertisement performance and helped to achieve maximum engagement.  Explored and evaluated alternative machine learning models, such as Naïve Bayes and Decision Trees, to benchmark performance, with Logistic Regression emerging as the most effective model for the given dataset.

Skills

blockchain
business-development
communication
data-science
developer-relations
finance
gaming
machine-learning
marketing
marketing-strategist
python
sales
ai
english
hindi