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I am a dedicated Data Analytics and Data Science professional skilled at transforming raw data into meaningful insights and predictive solutions. With expertise in statistical analysis, machine learning, and data visualization, I support strategic decision-making and optimize business outcomes effectively. I am proficient in SQL, Python, R, and cloud-based analytics, and I have hands-on experience in ETL, data cleaning, A/B testing, predictive modeling, and advanced analytics techniques. I am passionate about solving complex problems and driving value through data-driven strategies. Adept at bridging the gap between data and business through clear communication, impactful dashboards, and actionable recommendations, I thrive in collaborative environments and continuously seek to advance my knowledge and skills in data science and AI technologies.…I am a dedicated Data Analytics and Data Science professional skilled at transforming raw data into meaningful insights and predictive solutions. With expertise in statistical analysis, machine learning, and data visualization, I support strategic decision-making and optimize business outcomes effectively. I am proficient in SQL, Python, R, and cloud-based analytics, and I have hands-on experience in ETL, data cleaning, A/B testing, predictive modeling, and advanced analytics techniques. I am passionate about solving complex problems and driving value through data-driven strategies. Adept at bridging the gap between data and business through clear communication, impactful dashboards, and actionable recommendations, I thrive in collaborative environments and continuously seek to advance my knowledge and skills in data science and AI technologies.

Vandana Darapaneni

Data Scientist, Data Analyst, Full Stack Developer, +1

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I am a dedicated Data Analytics and Data Science professional skilled at transforming raw data into meaningful insights and predictive solutions. With expertise in statistical analysis, machine learning, and data visualization, I support strategic decision-making and optimize business outcomes effectively. I am proficient in SQL, Python, R, and cloud-based analytics, and I have hands-on experience in ETL, data cleaning, A/B testing, predictive modeling, and advanced analytics techniques. I am passionate about solving complex problems and driving value through data-driven strategies. Adept at bridging the gap between data and business through clear communication, impactful dashboards, and actionable recommendations, I thrive in collaborative environments and continuously seek to advance my knowledge and skills in data science and AI technologies.…I am a dedicated Data Analytics and Data Science professional skilled at transforming raw data into meaningful insights and predictive solutions. With expertise in statistical analysis, machine learning, and data visualization, I support strategic decision-making and optimize business outcomes effectively. I am proficient in SQL, Python, R, and cloud-based analytics, and I have hands-on experience in ETL, data cleaning, A/B testing, predictive modeling, and advanced analytics techniques. I am passionate about solving complex problems and driving value through data-driven strategies. Adept at bridging the gap between data and business through clear communication, impactful dashboards, and actionable recommendations, I thrive in collaborative environments and continuously seek to advance my knowledge and skills in data science and AI technologies.

Available to hire

I am a dedicated Data Analytics and Data Science professional skilled at transforming raw data into meaningful insights and predictive solutions. With expertise in statistical analysis, machine learning, and data visualization, I support strategic decision-making and optimize business outcomes effectively. I am proficient in SQL, Python, R, and cloud-based analytics, and I have hands-on experience in ETL, data cleaning, A/B testing, predictive modeling, and advanced analytics techniques.

I am passionate about solving complex problems and driving value through data-driven strategies. Adept at bridging the gap between data and business through clear communication, impactful dashboards, and actionable recommendations, I thrive in collaborative environments and continuously seek to advance my knowledge and skills in data science and AI technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Junior Data Scientist, Full Stack at University of Missouri (Agricultural Engineering)

September 1, 2023 - Present

Assisted in developing and testing machine learning models like Random Forest and XGBoost to analyze crop yield and soil quality data, improving prediction accuracy by 20%. Designed interactive dashboards using Tableau and Plotly Dash, saving over 10 hours per week for faculty and students. Automated ETL and data cleaning processes with Python scripts, improving data readiness by 30%. Integrated satellite NDVI imagery and IoT sensor data into research databases for spatial analysis. Developed RESTful APIs with FastAPI to serve predictive research models internally. Collaborated with graduate students and postdocs to gain hands-on experience with EDA, feature engineering, and model validation best practices.

Data Analyst at Stock Group Analytics

November 1, 2024 - Present

Cleaned, validated, and prepared financial transaction and phishing incident data using Python, ensuring 100% data integrity for reporting. Conducted statistical analyses to identify phishing attack patterns, improving fraud detection by 15%. Created interactive dashboards and KPI reports using Power BI and matplotlib. Collaborated with teams to implement monitoring solutions that reduced manual workloads by automating data quality checks. Supported analytics projects in fraud prevention, risk management, and operations, improving client security posture and streamlining internal processes.

Data Analyst at University of Missouri (Animal Science)

August 31, 2023 - August 5, 2025

Partnered with researchers to design experiments monitoring poultry growth metrics tied to soybean formulations. Conducted variance and outlier analysis on multi-year feed trial data using Python statistical libraries. Streamlined data collection by implementing standardized templates and version control, reducing errors. Summarized findings into research briefs and visual summaries contributing to conference presentations. Facilitated workshops on best practices in agricultural data management for undergraduate interns. Worked with faculty to estimate economic impact of soybean protein variability on feed costs aiding grant proposals.

Graduate Research Assistant at University of Missouri (Psychology Department)

August 31, 2023 - August 5, 2025

Designed and administered cognitive psychology experiments on short-term memory under varying loads. Developed custom scoring algorithms in R analyzing memory retention and reaction times. Structured participant data into a relational database ensuring reproducibility and compliance with ethics standards. Conducted factor analysis and hypothesis testing to validate experimental design. Authored visual abstracts and research summaries for presentations and grant submissions. Collaborated with interdisciplinary teams to align psychological metrics with educational outcomes contributing to follow-up studies.

Data Analyst at Star Health Insurance

June 30, 2022 - August 5, 2025

Analyzed over 500,000 health claims to identify cost drivers and billing anomalies, reducing claims processing time by 20%. Developed and maintained policy performance dashboards in Tableau and SQL to monitor key metrics supporting leadership decisions. Conducted customer segmentation using k-means clustering improving policy renewal rates by 12%. Implemented automated data validation rules enhancing data quality. Collaborated with actuarial and underwriting teams to improve predictive modeling of risk scores, reducing underwriting losses. Generated compliance and regulatory reports for audits. Presented insights to senior management through visualizations and summaries.

Software Intern at Kea Info Tech

December 31, 2019 - August 5, 2025

Contributed to a geo-spatial analysis project using Python and machine learning to process satellite remote sensing data. Classified areas into forests, barren lands, and agricultural zones via Google Earth Engine enabling real-time satellite data analysis over a decade.