Harika Tirumalasetty

Hyderabad

Profile Score

About

To build my career under organization that help me to grow my professional skills and where I get a chance to use my knowledge and skills to contribute to the progress of organization as well as myself.

Skills & Expertise (15)

Python Intermediate

7.1/10

Years Exp

Data Analytics Intermediate

6.4/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

JavaScript Beginner

5.8/10

Years Exp

Django Beginner

5.0/10

Years Exp

Python Full Stack HTML CSS MS-Office Friendly Nature Good Decision-maker eager to learn Hard Working Nature Focused Attention to Detail

Work Experience

Artificial Intelligence Intern

Artificial Intelligence Medical and Engineering Researchers Society (AIMERS Society)

May 2024 - Jul 2024

Implemented to concepts like Telegram Chatbot, Hugging Face APIs & Transformers, LLMs, Power BI, Visual Question Answering, Reduced API response time by 30%.

Machine Learning Trainee

Indian Servers Private Limited

May 2023 - Jul 2023

Exposed to concepts like Fundamentals of NLP, LLMs, Open AI, Text Processing techniques, led a team of 5 to deliver a project 2 weeks ahead of schedule.

Python FullStack Intern

Qspiders

Mar 2025 - Sep 2025

Completed intensive training in Python Full Stack Development, covering Core Python, Advanced Python, SQL, HTML, CSS, JavaScript, and Django framework. Built dynamic and responsive web applications using Django, implemented backend logic, integrated databases, and developed full-stack websites as part of hands-on projects. Gained practical experience in RESTful concepts, debugging, and application deployment basics.

Education

B.Tech (CSE -AIML) - St.Ann’s College of Engineering & Technology

2021 - 2025 · India

Intermediate - Sri Chaitanya Junior College

2019 - 2021 · India

SSC - Ravindra Bharati School

2018 - 2019 · India

Certifications

Google Data Analytics

Coursera · 2025

Completed the Google Data Analytics Professional Certificate program, gaining practical knowledge in data cleaning, data transformation, and exploratory data analysis. Developed skills in SQL, spreadsheets, data visualization, and tools such as Tableau and R. Learned how to prepare, process, analyze, and share data insights to support data-driven decision-making. Worked on case studies and real-world datasets to strengthen analytical and problem-solving abilities.