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
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.
Languages
English
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.