Data Analytics Analyst

SREELAKSHMI SURESH

linkedin *****************@*****.*** +91-720******* GitHub

CAREER ASPIRATION

Highly ambitious to be an Analyst with a globally renowned Organization that has its presence in the domain of Statistics or Data Analytics, where I can apply my learning and skills to derive success for the company and develop my career path. EDUCATION PROFILE

Master of Science in Applied Statistics and Data Analytics CGPA-9.16 2023-2025 Amrita Vishwa Vidyapeetham

Bachelor of Science in Statistics CGPA-9.7 2020-2023 Mumbai University

All India Senior School Certificate Examination (12th) 2020 Central Board of Secondary Education

All India Secondary School Examination (10th) 2018 Central Board of Secondary Education

INTERNSHIP EXPERIENCE

Data Analyst Intern Market Research Project NeoLotex Business Solutions Private Limited Feb 2025 – July 2025

• Conducted research to identify market trends and consumer behavior patterns using survey data and publicly available datasets.

• Performed data cleaning, analysis, and visualization.

• Delivered insights on customer segmentation and market demand to support strategic planning.

• Contributed to a team report that improved understanding of target audience preferences for product development. ACADEMIC PROJECTS

Thematic Analysis of Recipes Using Machine Learning

• Enhanced topic modelling insights by combining probabilistic and matrix-based approaches.

• Achieved a balanced, richer feature set from ensemble models, improving topic coherence by 20% compared to standalone models.

• Concatenated outputs from LDA and NMF, leveraging the probabilistic accuracy of LDA and the pattern-focused clarity of NMF.

• Tools & Technologies- Python (including libraries: Scikit-learn, NumPy, Pandas, NLTK), Selenium, LDA, NMF, Cosine Similarity, CSV Handling, BERTopic

Predictive Analytics for Online Advertising Campaigns

• Improved understanding of consumer behaviour by analysing online advertisement effectiveness.

• Identified key factors like product information, price, and customer reviews influencing purchases, validated by a Logistic Regression model with 96% accuracy and Random Forest model with 74% accuracy.

• Collected and analysed survey data from 378 respondents using statistical tests (Chi-Square, Kruskal-Wallis)

• Tools & Technologies- Google Forms, MS Excel, R Studio, Tableau Statistical Analysis of Health Data: Impact of Caffeine Consumption

• Performed statistical analysis using One-Way ANOVA on survey data to assess the impact of caffeine consumption on BMI

• Analysed data from 50 survey responses to compare the BMI across three groups: daily caffeine consumers, occasional consumers, and non- consumers.

• Collected survey data via Google Forms, processed it in Microsoft Excel, and performed hypothesis testing to determine statistical significance at a 5% level.

• Tools & Technologies -MS Excel, Google Forms, One-Way ANOVA SKILLS

• Python R programming SQL Tableau Ms Excel Power BI

• Microsoft 365 R studio Google Workspace

• Regression Analysis Hypothesis testing ANOVA Estimation Probability Distributions Sampling CERTIFICATION DONE

• Ask Questions to Make Data-Driven Decisions – Jul 2025 (Coursera)

• Foundations: Data, Data, Everywhere -Feb 2025 (Coursera)

• Tableau 2024 A-Z Training -Oct 2024 (Udemy)

• The Data Analyst Bootcamp-June 2024 (Udemy)

• ChatGPT and Microsoft Excel-Jan 2024 (Coursera)

• Performing Confirmatory Data Analysis in R-Jan 2024 (Infosys) OTHERS

• Participated in ‘Kuchipudi’ as a part of Sameeksha 2024 the workshop conducted by SPIC - MACAY Feb 2024

• Adaptability Efficient time management skills Able to work in team Efficient decision making Shrewd problem-solving abilities

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