Hi, I'm Tanmayi Maddali - Associate Data Engineer at Tredence Inc.
I'm a data enthusiast passionate about unlocking the power of information through engineering and AI. I thrive on dissecting complex datasets and building intelligent solutions, particularly excited by the potential of LLMs. Let's connect and innovate!
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned as a Data Science Intern at JNET Technologies.
Currently an Associate Data Engineer at Tredence.
Can help others by sharing insights on data analysis and ML basics.
🚀 Career trajectory
Academic Foundations & Early Exploration
Built core programming and analytical skills through university coursework and early roles. Contributed to academic communities like ELA-VIT.
✦ Python
✦ C++
✦ Data Structures
✦ Teamwork
Practical Data Science Internship
Gained hands-on experience in data science at JNET Technologies, applying data cleaning and analysis techniques to real-world problems.
✦ Data Cleaning
✦ Data Analysis
✦ Machine Learning
Associate Data Engineer
Currently applying and expanding data engineering expertise at Tredence, focusing on building and implementing data solutions.
✦ Data Engineering
✦ SQL
✦ LLMs
✦ Prompt Engineering
💪🏻 Superpowers
Data-Driven Problem Solver
Transforming raw data into actionable insights and robust solutions.
✦ Proficient in Exploratory Data Analysis and Data Cleaning.
✦ Skilled in Machine Learning and Fine Tuning models.
✦ Adept at SQL for data manipulation and retrieval.
Emerging AI Enthusiast
Exploring the forefront of AI with a focus on LLMs and prompt engineering.
✦ Actively developing skills in Large Language Models (LLM).
✦ Experimenting with Prompt Engineering techniques.
✦ Integrating AI concepts into data engineering workflows.
Foundational Technologist
Solid programming and systems thinking skills for building scalable solutions.
✦ Experienced in Python, Java, C++, and JavaScript.
✦ Strong understanding of Object-Oriented Programming.
✦ Knowledge of Data Structures and Algorithms.
I'm excited about
✦ Discovering novel applications of AI and LLMs in data engineering.
✦ Connecting with innovators in the data science and AI space.
✦ Exploring opportunities for collaborative projects in advanced analytics.
I can help with
✦ Share insights on implementing foundational ML models.
✦ Offer perspectives on efficient data cleaning techniques.
✦ Discuss strategies for structuring data for analysis.
I would love your help on
✦ Guidance on advanced LLM fine-tuning strategies.
✦ Insights into scaling data engineering pipelines.
✦ Mentorship on navigating career paths in AI research.