Jignesh Yemineni

Results-driven Data Analytics professional with expertise in analyzing complex datasets, extracting actionable insights, and driving informed business decisions. Proficient in machine learning, R programming, Python, SQL, and data visualization tools such as Tableau. Skilled in uncovering patterns, trends, and opportunities using advanced analytical techniques. Experienced in web development with proficiency in HTML, CSS, and Java. Adept at problem-solving, customer service, and clear communication, with a strong commitment to staying updated with industry advancements. Excels in dynamic, data-driven environments requiring strategic decision-making and innovative solutions.

Risk Management Analyst with Expertise in Analytics and Healthcare Sector Expansion

Here are three concise points based on your description:

• Proficient in Risk Assessment: Experienced in applying both qualitative and quantitative risk assessment techniques, including Scenario Analytics and Indicators & Warnings (I&W) analysis, to identify high-priority risks such as cybersecurity vulnerabilities and regulatory compliance issues.
• Risk Mitigation Expertise: Skilled in developing and executing risk response strategies to mitigate risks related to cybersecurity, regulatory compliance, and supply chain disruptions, ensuring business continuity.
• Industry-Specific Solutions: Demonstrated ability to tailor risk management strategies to support sustainable growth in complex industries, including healthcare, by proactively addressing emerging risks.

Data Analytics and Predictive Modeling Expert

• Developed Advanced Predictive Models: Built regression models using R to forecast satisfaction and engagement levels, identifying key factors influencing participant experience.
• Created Comprehensive Visualizations: Designed heatmaps, cluster plots, and time series graphs to uncover trends and highlight correlations in survey data.
• Conducted Data Analysis: Utilized tools like ggplot2 and tidyverse to preprocess and analyze survey data, revealing actionable insights to drive improvements.iisc Bangalore
• Enhanced person profiling through precise age and gender identification using machine learning.
• Enables smarter decisions by providing accurate demographic insights for diverse applications.
• Leaded the team of 3 in successful completion and journal submission.

Data Mining & Mapping Platform for Underprivileged Entrepreneurs

• Cleaned, standardized, and prepared a large entrepreneurial dataset to ensure accuracy and consistency for analysis and visualization.
• Performed exploratory data analysis (EDA) to uncover geographic, industry, and gender-based trends among underprivileged entrepreneurs.
• Developed interactive Tableau dashboards to visualize business distribution, challenges, and opportunities for strategic decision-making.
• Provided actionable insights to support economic mobility and entrepreneurship through data-driven recommendations to the sponsor organization (Runwei™).

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• Web Development: HTML, CSS
• Web Development: HTML, CSS
• Web Development: HTML, CSS