SRIKRUTHI DOREPALLY

Data Analyst | Data Engineer

Hyderabad, IN.

About

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

Work

Coincent

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Data Science Intern

Hyderabad, Telangana, India

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Summary

Contributed to data integrity and reporting initiatives, leveraging Python and SQL to deliver key insights for client stakeholders.

Highlights

Conducted extensive Exploratory Data Analysis (EDA) and data integrity checks utilizing Python and SQL, identifying critical patterns and ensuring data reliability.

Resolved missing data challenges through advanced imputation techniques, significantly improving overall data consistency by 15%.

Collaborated cross-functionally with stakeholders to design and tailor analytical reports, ensuring alignment with specific business needs and key performance indicators (KPIs).

Presented key findings, insights, and project updates during weekly client meetings, facilitating informed decision-making and fostering strong client relationships.

Education

Anurag Engineering College

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

Languages

English

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

Power BI, MS Excel, Jupyter Notebook, Pandas, NumPy, Trend Analysis, Data Preprocessing, Exploratory Data Analysis (EDA).

Machine Learning & NLP

Scikit-learn, NLTK, NLP, Deep Learning, CNN, Hyperparameter Tuning, Logistic Regression, Batch Normalization, Attention Layers, Data Augmentation.

Cloud & Data Engineering

AWS, GCP, ETL Workflows, Git, Hadoop (theoretical), Spark (theoretical).

Tools & Methodologies

GitHub, MS Office, OOPS, Data Integrity Checks, Imputation Techniques, Stakeholder Collaboration.

Professional Skills

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

Projects

Diabetic Retinopathy Detection

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Summary

Designed and implemented a deep learning model for the early detection of diabetic retinopathy from retinal images, utilizing Convolutional Neural Networks.

Hate Speech Detection

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Summary

Developed a robust machine learning solution for identifying hate speech within text data, leveraging natural language processing techniques.