Data Science Enthusiast
Hello! 🫡 I'm Nivash, a data science enthusiast passionate about data, with skills in SQL, Python, and data visualization. Eager to uncover insights and support data-driven decision-making. Committed to continuous learning and growth. Looking to contribute to impactful projects with a collaborative team!
Zomato Data Analysis 🍽️ - Uncovering Insights through Data Exploration This project utilizes Python, along with libraries like NumPy, Pandas, and Matplotlib, to perform in-depth analysis on Zomato’s customer and order data. Through exploratory data analysis (EDA), I built a data analysis pipeline to manipulate data efficiently with Pandas and generate insightful visualizations using Matplotlib, including line graphs, pie charts, and bar charts. The analysis revealed key trends in customer demographics and purchasing behaviors, providing valuable insights that support data-driven decision-making for targeted marketing and customer engagement strategies.
OLA Data Management System 🚗 - Driving Insights through Data Analysis In this project, I developed an SQL-based data management system using MySQL to analyze and extract insights from real-time Ola data. By executing complex SQL queries and utilizing Excel references, I explored patterns in customer behavior and operational metrics. This analysis uncovered actionable insights that supported data-driven strategies, contributing to informed business decision-making and operational improvements.
Employee Performance Insights is a comprehensive Power BI dashboard designed to analyze and visualize employee performance metrics for the month of September. The project focuses on key indicators such as quality checks, delivered measures, and backlogs, providing actionable insights into workforce efficiency. With features like QC vs. Delivered analysis, Delivered vs. Backlogs comparisons, and Datewise performance trends, the dashboard enables stakeholders to track variances, uncover patterns, and make informed decisions. This project leverages Power BI, Microsoft Power Query, and DAX to deliver interactive and data-driven storytelling for enhanced organizational performance management.
Our system is an automated face-based attendance management solution. Users input their image and name to train the system for facial recognition. Once trained, it automatically records attendance upon detecting a user's face via a camera. Powered by machine learning, it accurately tracks attendance by identifying individuals through their facial features, eliminating manual marking.
🌤️ Sky Scope,a go-to mobile application made with Flutter and Dart for real-time weather updates! Leveraging the OpenWeather API, Sky Scope fetches live weather data for accurate forecasts in your location and any city you desire. Beyond just the current temperature, SkyScope suggests activities based on prevailing weather conditions. Stay informed and prepared with Sky Scope! 📱.
ROLE : Data Science
DATE : Aug 2024 - Present
PLACE : Chennai, India
Aspiring Data Science Enthusiast currently serving as an intern at Besant Technologies, with a passion for transforming data into meaningful insights. Gaining hands-on experience in analyzing large datasets and delivering actionable business solutions. Proficient in SQL, Python, Tableau, and Power BI, with a growing expertise in machine learning and data visualization. Eager to apply academic knowledge to real-world projects and contribute to impactful data-driven decision-making.
ROLE : Power BI Job Simulation
DATE : Nov 2024
PLACE : Virtual
During this simulation,In November 2024, I completed the PwC Switzerland Power BI Job Simulation on Forage, strengthening my Power BI skills to meet client data visualization needs. I created dashboards that effectively conveyed KPIs and addressed client requests with tailored solutions. My strong communication skills were demonstrated through concise emails, delivering actionable insights. I analyzed HR data, focusing on gender-related KPIs, identifying root causes of executive-level gender balance issues, and showcasing my commitment to data-driven problem-solving.
ROLE : Data Analytics and Visualization Job Simulation
DATE : Nov 2024
PLACE : Virtual
During this simulation, I assumed the role of a Data Analyst advising a hypothetical social media client for Accenture. I conducted comprehensive data cleaning, modeling, and analysis on seven datasets to identify content trends that inform strategic decision-making. I further demonstrated proficiency in data presentation by creating a PowerPoint deck and delivering a video presentation, effectively communicating insights to both the client and internal stakeholders.
ROLE : Web Developer
DATE : Dec 2020 - Jan 2021
PLACE : Coimbatore, India
During our Winter internship, our team of five collaborated to develop an Electricity Board (EB) Website aimed at improving electricity service efficiency. This user-friendly platform allowed consumers to easily report power-related issues, such as outages or electrical problems in specific areas. The reported data was seamlessly integrated into a centralized dashboard, accessible by the electricity board's administrators. They could view real-time updates, pinpoint problem areas on a map, and allocate resources efficiently to resolve issues promptly. This project not only empowered consumers with a direct line of communication but also equipped the electricity board with valuable data for optimizing service delivery and ensuring a more reliable electrical supply system. I worked as a frontend developer here