Hello!

I'm Tarisha Sharma



A Back End Developer

My works

Name: Tarisha Sharma

Job Role: Back End Developer

Experience: 1 Year

Address: Delhi, India

Skills

PYTHON 85%
POWER BI 85%
REST API 80%
Django 80%
SQL 80%
EXCEL 80%
TABLEAU 80%

About

About Me..

With over a year of extensive experience in Python, data analytics, and database administration, I bring a strong background in leveraging Django, REST APIs, Power BI, Advanced Excel, Python, Statistics, and SQL for effective data analysis and management. My expertise spans data acquisition, data storage solutions, requirements elicitation, data wrangling, and data preparation.

  • Profile: Back End Developer
  • Domain: Sales Management, CRM, HRM, Education and Healthcare
  • Education: Bachelor of science
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI & Tableau
  • Other Skills: Excel

0 +   Projects completed

LinkedIn

Resume

Resume

With over a year of extensive experience in Python, data analytics, and database administration. Proven expertise in Python, Django, REST APIs.

Experience


Sep 2024 - Jan 2025

Back End developer

Shree Nandik Technologies

  • Developed a robust Django REST Framework application with 30+ custom APIs, optimizing data integration and user access efficiency by 25% through tailored endpoint designs, enhancing response times and data handling capabilities.
  • Leveraged CRUD operations and RESTful API architecture to establish precise, scalable endpoints for efficient data creation, retrieval, updates, and deletions, improving software data management and facilitating smooth client-server interactions.
  • Implemented Multi-Factor Authentication (MFA) within the Django API authentication workflow using secure OTP and token-based verification, strengthening access control and safeguarding sensitive operations against unauthorized access.

Jul 2024 - Aug 2024

Data Analyst

iNeuron

  • The Heart Disease project focuses on the healthcare sector, analyzing complex data to diagnose heart conditions. This roles require a deep understanding of data analytics, including statistical analysis and predictive modeling techniques.
  • Collaborated effectively to analyze a complex heart disease dataset, focusing on critical metrics such as age, sex, chest pain type, resting blood pressure, and serum cholesterol levels to derive valuable insights into cardiovascular health.
  • Conducted an in-depth examination of the dataset, revealing significant patterns such as 47% of patients exhibiting symptoms of typical angina and 38.4% displaying signs of reversible defects, which are crucial for effective diagnosis and treatment planning.
  • Utilized statistical analysis and predictive modeling techniques to navigate through the dataset, uncovering actionable insights that aided in understanding and diagnosing heart conditions.
  • Leveraged PowerBI tools to create detailed reports and interactive dashboards, enhancing strategic decision-making for stakeholders and deepening my proficiency in applying data analytics to real-world healthcare scenarios.



Education


2023-2024

PG Diploma in data Analyst

Imarticus Learning

Grade: First class distinction.

2021-2023

Bachelor of Education

CCS University

Grade: First class distinction.

2018-2021

Bachelor of science

CCS University

Grade: First class distinction.

2017-2018

Higher Secondary School

L.P.School

Grade: First class distinction.

Internship and Projects

Below are the Data Analytics Internships and Projects on Power BI , Python, SQL , and Excel.

Heart Disease Diagnostic using PowerBI

Completed an Internship at iNeuron, where I analyzed complex healthcare data to diagnose heart conditions. I employed statistical analysis and predictive modeling techniques and built comprehensive reports using PowerBI.

Bank Loan Analysis in Power BI using MSSQL

Presents a comprehensive analysis of bank loan data, encompassing key metrics such as loan issue date, loan status, payment date, annual income, loan amount, and payment type.

Analyzing Bike Sales Data with Excel

This report offers detailed insights into Employee ID, Marital Status, Income, Gender, Children, Education, Occupation, Homeowner Status, Commute Distance, Region, Age, and Purchased Bike.

Python Project for Scraping YouTube using the YouTube Data API

In this project, we're extracting data from the YouTube channels of Codebasics and Krish Naik using an API key.

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

Delhi, India

Email Address

tarisha2024@gmail.com

Download Resume

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