Srikalpa Kruthiventi

SRIKALPA KRUTHIVENTI ƒ - | #-| ï Linkedin | § GitHub | Ñ LeetCode | € Portfolio EDUCATION Singapore Management University Master of Computing in Data Science 2023 - 2024 Amrita Vishwa Vidyapeetham University Bachelor of Technology in Computer Science 2018 - 2022 EXPERIENCE Upwork Mar 2025 - Present Data Analyst Singapore, Remote • Conduct ongoing statistical and regression analysis of datasets using python and Excel. • Design and maintain interactive dashboards using Power BI and Tableau to support data-driven decision-making. Verizon Data Services Jul 2022 - Aug 2023 Software Developer Hyderabad, India • Verizon is a leading telecommunications provider delivering wireless and internet services across the United States • Conducted in-depth data analysis to identify patterns, providing actionable insights for business decisions. • Reduced defects by 10% through high-quality code development and bug elimination. • Enhanced MVA3.0 app user experience by resolving critical defects, reducing error pages, improving accessibility. Verizon Data Services Feb 2022 - Jun 2022 Software Developer Intern Hyderabad, India • Enhanced Bug Report feature functionality, improving user experience and issue tracking. • Conducted A/B test analysis for new features, providing statistical significance reports to product team The Sparks Foundation Apr 2021 - May 2021 Data Science Intern Singapore, Remote • Developed supervised and unsupervised machine learning models for trend prediction and clustering tasks. • Conducted statistical data analysis on real-world datasets, deriving insights and visualizing results. CodeSpeedy Technology Feb 2021 - Mar 2021 Python Developer Intern Singapore, Remote • Built real-time drowsiness detection using OpenCV and Haar-Cascade Classifier, implementing EAR algorithm and PERCLOS measures for accident prevention. SKILLS Data Analysis Data Visualization Data Management Cloud Tools SQL, Python (Pandas, NumPy, PySpark), Excel (LOOKUP, Pivot Tables, Macros) Power BI (DAX, Power Query), Tableau, KPI Design ETL, Snowflake, Data Warehouse, Data Cleaning, dbt Azure (Fabric, Synapse, Data Factory), GCP (BigQuery) Git, Jira, Agile, Docker, Linux, Microsoft Office CERTIFICATION Microsoft: Azure Data Fundamentals (DP-900) | Azure AI Fundamentals (AI-900) | Azure Fundamentals (AZ-900) Analytics: Power BI Data Analyst Associate (PL-300) | Fabric Analytics Engineer Associate (DP-600) PROJECTS Competitive Matching Engine for Taxi Transport (COMET) | Python, Parquet, SQL, BigQuery, Plotly • Developed a machine learning-based taxi matching algorithm using Python, boosting service rates by 26% and reducing wait times by 53% and Analyzed market trends and optimized decision-making using data visualization. ADDITIONAL Publication: Comparative Analysis of RNN Variants Performance in Stock Price Prediction (ICICCS 2022) Languages: English (Fluent), Telugu (Native), Hindi (Proficient), Tamil (Basic)