SRIKRUTHI DOREPALLY

Computer Science Graduate | Data Analyst & Data Engineer

IN.

About

Highly motivated Computer Science graduate with a strong foundation in data analysis, machine learning, and cloud technologies, seeking Data Analyst or Data Engineer roles. Proven ability to translate complex data into actionable insights, having built dashboards that enhanced reporting efficiency by 20% and developed ML models achieving 85-92% accuracy. Eager to leverage expertise in Python, SQL, and Power BI to solve business problems and drive data-driven strategies in dynamic, client-facing environments.

Work

Coincent

|

Data Science Intern

Hyderabad, Telangana, India

→

Summary

Executed data analysis and integrity checks, collaborating with stakeholders to deliver data-driven insights and improve reporting.

Highlights

Conducted extensive Exploratory Data Analysis (EDA) and rigorous data integrity checks using Python and SQL to ensure data quality.

Improved data consistency by 15% through effective imputation techniques to address missing data issues, enhancing dataset reliability.

Collaborated cross-functionally with stakeholders to tailor and present data-driven reports aligned with specific business needs and KPIs.

Participated in weekly client updates, presenting key findings and strategic insights to stakeholders, demonstrating strong communication skills.

Education

Anurag Engineering College

Suryapet, Telangana, India
→
Bachelor of Technology Computer Science and Engineering Grade: 75%

Certificates

Power BI Job Simulation – PwC (Forage)

PwC (Forage)

Database Programming with SQL – Oracle

Oracle

Skills

Programming Languages

Python, SQL, HTML, CSS.

Data Analysis & Visualization Tools

Power BI, MS Excel, Jupyter Notebook, GitHub, MS Office.

Machine Learning & NLP Libraries

Pandas, NumPy, Scikit-learn, NLTK.

Data Concepts & Methodologies

Data Preprocessing, Natural Language Processing (NLP), Trend Analysis, Object-Oriented Programming (OOP).

Cloud & Data Engineering

AWS, GCP, ETL Workflows, Git.

Big Data Technologies

Hadoop, Spark.

Soft Skills

Analytical Ability, Time Management, Problem Solving, Communication, Adaptability.

Projects

Diabetic Retinopathy Detection

→

Summary

Designed a deep learning model to detect diabetic retinopathy from retinal images.

Hate Speech Detection

→

Summary

Developed a natural language processing model to identify hate speech from text data.