Data Analyst /Machine Learning

Dinesh Reddy Gopannagari Venkata

Email 805-***-**** Linkedin

Education

M.S. Information Technology & Management – Cumberland University, Lebanon, TN

B.E. Civil Engineering – AVIT, Chennai, Tamil Nadu, India

Relevant Coursework: Predictive Modeling, Statistics, NLP, Agile & Waterfall, Time Series Analysis

Professional Summary

Detail-oriented and results-driven Senior Data Analyst with over four years of experience in analyzing large datasets, developing predictive models, and providing actionable business insights. Proven expertise in SQL, Python, and data visualization tools like Tableau and Power BI. Adept at transforming complex data into clear, meaningful insights that drive strategic decision-making and optimize business processes. Skilled in statistical modeling, machine learning, and automation of data reporting. Strong communicator with a track record of collaborating with cross-functional teams to improve business performance. Seeking to contribute analytical expertise to a dynamic, data-driven organization. Certifications

Google Data Analytics Professional Certificate

Tableau Desktop Specialist

SQL for Data Science (Coursera)

Work Experience

Senior Data Analyst

Contech Pvt Ltd, Hyderabad, Telangana [06/2018 – 2/2022] Professional Experience

Led data analysis initiatives for the sales, marketing, and operations teams, providing actionable insights that improved operational efficiency by 18%.

● Managed and optimized ETL processes to streamline data flows, reducing data processing time by 35%.

● Designed and deployed predictive models using machine learning algorithms to forecast sales, improving forecasting accuracy by 22%.

● Automated monthly and weekly reports, significantly reducing manual reporting time and ensuring real-time data availability.

● Collaborated with cross-functional teams to integrate data analysis insights into business strategies.

● Conducted training sessions for junior analysts on advanced data analysis techniques, including predictive modeling and data visualization.

Projects

1. Sales Forecasting & Demand Planning Model

● Developed a sophisticated demand forecasting model using ARIMA and machine learning regression techniques to predict future sales trends.

● Integrated the model with business processes, leading to a 25% reduction in stock-outs and optimized inventory levels.

● Created interactive dashboards in Power BI to visualize key performance indicators (KPIs) and trends, enabling real-time decision-making.

2. Customer Churn Prediction Model

● Designed and implemented a machine learning model to predict customer churn using logistic regression and decision trees.

● Analyzed historical customer data, identifying key risk factors and reducing churn by 15% through targeted retention strategies.

● Delivered results to leadership through presentations and Tableau visualizations, contributing to strategic decisions in marketing campaigns.

3. Marketing Campaign ROI Analysis & Optimization

● Analyzed multi-channel marketing campaign data to measure ROI, customer acquisition costs, and conversion rates.

● Developed predictive models to assess campaign performance and optimize targeting, resulting in a 20% improvement in campaign ROI.

● Automated reporting and built detailed dashboards to track marketing KPIs in real-time. 4. Data-Driven Financial Analysis for Cost Optimization

● Led a financial analysis project to assess operational costs and identify areas for efficiency improvements.

● Built a dashboard to visualize cost drivers and forecast future expenditures using time-series analysis, helping reduce costs by 12% in one year.

● Used SQL and Python for data extraction and analysis, and presented findings to senior leadership with actionable recommendations.

5. E-commerce Website Optimization Using A/B Testing

● Conducted large-scale A/B testing on a leading e-commerce website to evaluate user experience changes.

● Analyzed the results to identify design and functionality changes that led to a 18% increase in conversions and 10% improvement in user retention.

● Worked closely with web development and UX/UI teams to integrate data findings into actionable website improvements.

Certifications

Google Data Analytics Professional Certificate

Tableau Desktop Specialist

SQL for Data Science (Coursera)

Skills

● Data Analysis: Advanced proficiency in analyzing large datasets with Python (pandas, NumPy), Excel, and R

● Data Visualization: Expertise in Tableau, Power BI, Matplotlib, and other visualization platforms

● SQL: Strong knowledge of SQL for writing complex queries, data extraction, transformation, and analysis

● Programming: Proficient in Python (including libraries such as pandas, NumPy, statsmodels, scikit-learn)

● Statistical Modeling & Machine Learning: Experience with predictive modeling, regression analysis, and clustering

● Soft Skills: Excellent communication, problem-solving, and attention to detail

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