Analyzing Visualizing Storytelling
MSc Student at Coventry University (Graduating Sept 2026)

Ramya Kalakonda

Transforming complex data into actionable insights. Aspiring Data Analyst specializing in predictive modeling and visual storytelling.

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SQL / PYTHON
VISUALIZATION
STATISTICS
Professional Portrait

2+

Years Experience
in Data Analysis

Curious by Nature,
Analytical by Choice.

Hi, I'm Ramya. I'm a Data Analyst with a passion for uncovering hidden patterns within complex datasets. Currently pursuing my MSc at Coventry University, I bridge the gap between technical data science and business decision-making.

My approach combines rigorous statistical methodology with intuitive visual design. I believe that data is only as good as the stories it tells, which is why I focus on creating high-impact visualizations and clear, actionable summaries for stakeholders.

Data Modeling

Expert in SQL and database structuring for efficiency.

Exploratory Analysis

Deep dives into raw data to find growth levers.

Technical Expertise

Programming Languages

PythonRSQLC++

Data Visualization

TableauPower BIMatplotlibSeaborn

Statistical Analysis

RegressionHypothesis TestingData ModelingProbability

Tools & Technologies

Advanced ExcelJupyter NotebookGitPandasNumPy

Databases

MySQLPostgreSQLMongoDB

Soft Skills

Problem-solvingCommunicationData StorytellingTeamwork

Professional Experience

Junior Data Analyst

Nexus Insights Corp Remote / London, UK
Jan 2024 - Present
  • Developed automated dashboards in Power BI that reduced weekly reporting time by 15 hours for the marketing team.
  • Identified key trends in customer churn data using Python, leading to a 10% increase in retention strategies.
  • Collaborated with cross-functional teams to clean and preprocess datasets of over 1M records using SQL and Pandas.
  • Presented data-driven insights to senior stakeholders to support quarterly strategic planning.

Data Science Intern

BlueWave Systems Hyderabad, India
Jun 2023 - Dec 2023
  • Assisted in building predictive models using R and Scikit-learn to forecast inventory demand with 85% accuracy.
  • Performed exploratory data analysis (EDA) on sales data to identify underperforming product categories.
  • Built a Tableau dashboard to track real-time logistics performance metrics.
  • Streamlined data collection processes using web scraping tools and API integrations.

Research Assistant (Data Analysis)

TechFlow Research Lab Hyderabad, India
Jul 2022 - May 2023
  • Conducted statistical hypothesis testing on social media engagement metrics to optimize content strategy.
  • Managed large-scale survey data and performed regression analysis to determine user behavior drivers.
  • Cleaned and maintained internal databases using MySQL, ensuring 99.9% data integrity.

Education

2024 – 2026 (Expected)

MSc in Data Science & Analytics

Coventry University

Coventry, UK

Focusing on Advanced Machine Learning, Big Data Analytics, and Statistical Methods.

Developing a final thesis on predictive maintenance using deep learning architectures.

2019 – 2023

B.Tech in Computer Science and Engineering

Narayanamma Institute of Technology and Science (GNITS)

Hyderabad, India

Specialized in Artificial Intelligence and Database Management Systems.

Graduated with First Class with Distinction.

Active member of the Data Science Student Chapter.

Data Projects

01

Customer Segmentation Analysis

Applied K-means clustering to segment a retail customer base of 10,000+ individuals based on purchasing behavior and demographics.

PythonScikit-learnMatplotlibPandas
Identified 5 distinct customer personas, enabling targeted 20% increase in marketing ROI.
Code baseCase study
02

E-commerce Sales Dashboard

Developed an interactive Power BI dashboard to visualize key performance indicators (KPIs) for a global e-commerce platform.

Power BISQLDAXExcel
Improved regional sales monitoring accuracy by 30% and identified $50K in lost revenue leakage.
Code baseCase study
03

Air Quality Prediction Model

Built a time-series forecasting model to predict urban air quality levels using historical sensor data and weather patterns.

RXGBoostTidyverseJupyter
Achieved a 92% R-squared value in predicting PM2.5 concentrations for 24-hour horizons.
Code baseCase study
04

Global Supply Chain Audit

Analyzed multi-source logistics data to identify bottlenecks and inefficiencies in a multinational supply chain network.

PythonSQLTableauSeaborn
Redesigned shipping routes resulting in a 12% reduction in carbon footprint and $100K annual cost savings.
Code baseCase study

Get In Touch

I'm currently looking for data analyst opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Note: The above contact details are placeholders. Please update with your actual information.