Name: Akshay Sharma

Address: Somewhere in India

Skills

SQL 90%
PYTHON 95%
Data Visualization 80%
Statistical Analysis 95%
Machine Learning 90%
Artificial intelligence 90%

About

About Me

Hi, I’m Akshay Sharma, a final-year undergraduate at NSUT and an aspiring analytics professional with a strong interest in data and business analysis and a growing focus on product-driven insights. I enjoy working with data to uncover patterns and support decisions that create meaningful impact. I have hands-on experience with Python (data cleaning and EDA), SQL, Excel, and Power BI, and I am building a solid foundation as a Data / Business Analyst, with a long-term goal of transitioning into Product Management, where data informs every decision.

  • Profile: Aspiring Analytics Professional | Data & Business Analysis | Product-Driven Insights | Data Science
  • Education: Bachelor of Technology (Final Year) – NSUT
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI
  • Technical Skills: Python (Pandas, NumPy, Matplotlib, Seaborn) | SQL | Power BI | MS Excel | Data Cleaning | Exploratory Data Analysis | Machine Learning | Data Modeling
  • Machine Learning & Stats: Scikit-learn | PyTorch | TensorFlow | NLKT | Descriptive Statistics | Inferential Statistics
  • Analytical Skills: Business Analysis | Data-Driven Insights | Problem Solving | Process Optimization | Insight Communication
  • Other Skills: Git | GitHub | Vs Code | Docker | kubernetes | Basic Web Technologies (HTML, CSS, JavaScript) | Communication | Teamwork | Adaptability | Time Management
  • Interests: Fitness & Gym | Traveling | Gaming | Exploring Technology & Gadgets | Movies & Web Series

Resume

Resume

Final-year student at NSUT with a focused interest in data-driven decision-making and analytical problem-solving.

Experience


2025 [MAY - JULY]

Metagates Innovation Pvt. Ltd. , NCT

Data Analyst Intern

Metagates Innovation Pvt. Ltd. A Delhi‑based HealthTech startup incubated at IIIT‑Delhi (incorporated May 2023), Metagates provides technology-enabled claim assistance services—not TPAs or insurance sellers—and offers corporate OPD wellness packages. Aligned with its "One World, One Health" vision, the company empowers users and organizations by simplifying healthcare claims, improving transparency, and leveraging analytics-driven software for effective outcomes.

  • Assisted in cleaning and analyzing over 5,000+ rows of raw health insurance data, improving data accuracy and readiness for reporting.
  • Created 3 interactive dashboards using Power BI and Excel to visualize claim trends, helping stakeholders monitor performance and identify bottlenecks.
  • Supported the automation of routine data processing tasks, reducing manual work by approximately 30%.
  • Collaborated with the data and operations team to improve data quality, resulting in a 20% improvement in claim validation speed.
  • Contributed to the design and testing of internal reporting tools, enhancing the efficiency of decision-making for client onboarding and OPD package management.

2025 [AUGUST]

Deloitte Australia (via Forage)

Data Analytics Virtual Intern

Deloitte is one of the world’s leading professional services firms, offering a wide range of solutions in audit, consulting, financial advisory, risk management, and tax. Deloitte Australia, part of the global Deloitte network, works with top-tier clients across industries to deliver data-driven insights and innovative solutions. Known for its strong focus on digital transformation and analytics, Deloitte empowers businesses to make smarter decisions through advanced data strategies and technologies.

  • Analyzed and cleaned a dataset containing over 1,000+ rows of client telemetry data to prepare for business analysis.
  • Developed an interactive Tableau dashboard to visualize key business insights, improving stakeholder data interpretation.
  • Used Excel functions and classification techniques to organize client data and identify trends in customer behavior.
  • Simulated real consulting scenarios by presenting structured data insights to support data-driven business decisions.
  • Gained hands-on experience with data storytelling and client reporting, aligned with Deloitte’s professional standards.



Education


2022-2026

Bachelor of Technology [B.TECH]

Netaji Subhas University of Technology
2021-2022

Higher Secondary School

Sant Gyaneshwar Model School
2019-2020

Secondary School

Mother Teresa Public school

Projects

Projects

Hands-on projects showcasing data cleaning, analysis, visualization, and machine learning.

Agentic RAG System

Built a Retrieval-Augmented Generation (RAG) system combining voice input, document analysis, and intelligent multi-source search designed ML pipelines for embeddings, retrieval, and real-time inference with LangChain and ChromaDB enabled multimodal AI via Gemini and Claude for voice, image, and text interactions.

ECG-based Heart Abnormality Detection using ML

Developed an ECG classification model using machine learning applied data cleaning and model training in Python.

Credit-Card-Financial-Dashboard

To develop a comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.


Uber Ride Analysis

A Python-based project to analyze Uber ride data, uncover patterns, and visualize insights.

Inventory Management System.

A Python-based Inventory Management System using Tkinter and MySQL, enabling real-time product management and order processing through a GUI interface

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Somewhere in India

Contact Number

+91 8826******

Linktree

Linktree