Data Analyst Machine Learning

USA • ***********@*****.*** • +* (***) -***-****

LAVANYA

Data Scientist/BI Developer/Data Analyst

PROFESSIONAL SUMMARY

Data Scientist/BI Developer/Data Analyst with over Four years of experience in leveraging machine learning and statistical analysis to enhance business intelligence and decision-making. Skilled in developing complex reports and interactive dashboards using tools like Tableau, MicroStrategy, and SQL, providing real-time insights that drive strategic initiatives. Proficient in Python and adept at transforming data into actionable solutions. Passionate about fostering innovation through data-driven approaches, and experienced in blending data science, business intelligence, and analytical skills to optimize performance and uncover business opportunities.

EMPLOYMENT HISTORY

DATA SCIENTIST/BI DEVELOPER/DATA ANALYST

Designed and maintained interactive Tableau dashboards that significantly improved decision-making speed and efficiency by streamlining data aggregation and modeling processes.

Applied filters, grouping, and sets in Tableau to organize data effectively, enabling the creation of intuitive, user-friendly visualizations that enhanced stakeholder engagement.

Utilized the Pareto Principle for analysis, identifying key drivers of business outcomes and improving strategies to optimize operational efficiency.

Implemented clustering techniques in Tableau, uncovering meaningful patterns and insights from customer behavior data to enhance segmentation and targeting.

Wrote and optimized complex SQL queries, ensuring efficient data retrieval by applying advanced normalization techniques to improve database performance.

Developed stored procedures and SQL functions, automating repetitive tasks, streamlining processes, and significantly reducing manual effort.

Conducted in-depth statistical analysis, including hypothesis testing, probability density functions, and measures of spread, to support data-driven decision-making.

Applied machine learning models such as Logistic Regression, Random Forest, and KNN, driving improvements in customer engagement and business strategies.

Built and evaluated machine learning models using metrics such as ROC curves and accuracy scores, ensuring optimal model performance and predictive accuracy.

Utilized K-Means clustering and Euclidean distance for unsupervised learning tasks, identifying patterns in customer segments to inform business strategies.

Developed custom Python scripts to automate data cleansing and preprocessing tasks, significantly reducing the time required for data preparation.

Collaborated with stakeholders to gather requirements and translate business needs into technical specifications, ensuring alignment between data solutions and business objectives.

Monitored and maintained data quality through rigorous validation and auditing processes, ensuring the accuracy and reliability of data-driven insights.

Trained and mentored junior data analysts and scientists, fostering a collaborative and growth-oriented team environment

EDUCATION

POST GRADUATE DEGREE IN DATA SCIENCE2024

Purdue University USA

BACHELOR OF TECHNOLOGY IN ELECTRONICS AND COMMUNICATION ENGINEERING2014

SIETK, J.N.T. UniversityAnantapur, India

COURSES

SQL FOR DATA SCIENCE

Purdue University

DATA VISUALIZATION WITH TABLEAU

Purdue University

MACHINE LEARNING SPECIALIZATION

Purdue University

PYTHON FOR DATA ANALYSIS

Purdue University

SKILLS

Tableau (Experienced), Python (Experienced), SQL (Experienced), Data Analysis (Experienced), Machine Learning (Skillful), MicroStrategy (Experienced), Business Intelligence (Experienced), Statistical Analysis (Skillful), Data Visualization (Experienced), A/B Testing (Skillful), Predictive Modeling (Skillful), Dashboard Development (Experienced), ETL, Windows.

ADDITIONAL INFORMATION

CERTIFICATIONS

• MicroStrategy Certified Report Developer

• MicroStrategy Certified Dashboard Developer

• MicroStrategy Certified Analyst

PROJECT HIGHLIGHTS

• MicroStrategy Financial Dashboard Project: Designed and implemented a comprehensive financial dashboard using MicroStrategy to track KPIs across multiple departments.

•Sales Forecasting Model: Utilized historical sales data and seasonal trends to construct a machine learning model that forecasts future sales. Additionally, reports and dashboards were generated using Tableau.

• Customer Segmentation Analysis: Applied K-Means clustering and other unsupervised learning techniques to segment customers based on purchasing behavior.

• A/B Testing for Website Optimization: Designed and executed A/B tests to evaluate the impact of different website strategies on user engagement and conversion rates.

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