Kusuma Mani Kanta
Data Analyst • m*****************@gmail.com • +91*******833 • drivetube.ai/•••••
Professional Summary
Data Analyst with 3.6+ years of experience leveraging SQL, Python, and Power BI to deliver data-driven insights, build ETL workflows, and design interactive dashboards that support business decision-making.
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Scikit-Learn,Seaborn,Matplotlib
Databases: SQL,MySQL
Cloud and DevOps: GCP,AWS
Data and Analytics: Power BI,DAX,Power Query,Excel Pivot Tables,Excel Charts,Statsmodels,Linear Regression,Logistic Regression,Data Cleaning,Data Transformation,ETL Workflows,Data Validation
Tools and Methodologies: Jupyter Notebook,Visual Studio Code,Google Colaboratory,Anaconda,MS Excel,MS Word,Exploratory Data Analysis,APIs,Google Analytics,Agile,System Testing,Quality Assurance
Work Experience
Genesis Techsystems Pvt Ltd
Data Analyst
Sep 2022 – present
Worked as a data analyst at a technology services company, supporting analytics, dashboarding, and data integration between backend systems and user-facing applications.
Tech Stack: SQL, MySQL, Python, Pandas, NumPy, Power BI, DAX, Power Query, Excel, APIs
- Developed complex SQL queries and views against MySQL to extract and aggregate large datasets for weekly and ad-hoc business reports, improving report accuracy for stakeholders using SQL and MySQL.
- Built ETL and preprocessing scripts in Python using Pandas and NumPy to clean, normalize, and join disparate datasets, producing analysis-ready tables and reducing manual data preparation effort.
- Designed and implemented interactive Power BI dashboards with DAX measures and Power Query transformations to surface key KPIs and trends for business users and management.
- Implemented data validation rules and automated quality checks using SQL and Python to detect and correct inconsistencies, increasing confidence in analytics outputs and downstream usage.
- Collaborated with backend and frontend developers to integrate APIs and embed dashboards into applications; participated in system testing and QA to validate data flows and functionality.
- Translated business requirements into technical specifications, authored user manuals and technical documentation, and presented analyses to stakeholders to drive data-informed decisions.
Ineuron
Data Science & Analytics Intern
Sep 2021 – Jun 2022
Internship focused on sales analytics and exploratory data analysis for e-commerce datasets, supporting dashboarding and basic predictive modeling efforts.
Tech Stack: Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-Learn, Excel, Power BI
- Analyzed Amazon sales datasets using Python and Excel to identify sales and product trends that contributed to a 15% increase in revenue through targeted insights and recommendations.
- Performed end-to-end data cleaning and exploratory data analysis with Pandas, NumPy, Seaborn, and Matplotlib to surface patterns and prepare data for modeling and reporting.
- Developed interactive dashboards and visualizations to track sales performance and operational metrics in Power BI and Excel, enabling clearer monitoring of KPIs.
- Assisted in feature engineering and building baseline predictive models using Scikit-Learn (linear regression and logistic regression) to generate demand and churn insights.
- Collaborated with cross-functional peers to translate business questions into analytic tasks and presented findings to mentors and stakeholders to inform decisions.
- Documented data sources, processing steps, and assumptions to ensure reproducibility and simplified handoff of analyses to product and engineering teams.
Projects
LinkedIn Data Analysis Dashboard
Tools Used: Power BI, Power Query, DAX, Pandas, EDA, Data Cleaning
- Conducted end-to-end exploratory data analysis on LinkedIn profile datasets to uncover user engagement patterns, skills demand, and career progression trends using Python and EDA techniques.
- Designed and deployed an interactive Power BI dashboard with dynamic filters, drill-through pages, and KPI cards to track profile views, connection growth, and skill distribution.
- Performed extensive data cleaning and transformation in Power Query and Python to handle missing values, standardize formats, and remove duplicates to improve data reliability.
- Implemented custom tooltips and slicers to improve dashboard usability and enable stakeholders to explore hiring trends across industries, experience levels, and geographies.
Education
Ineron, Bangalore
Data Analyst Course • Bangalore • 2022 – 2022
St. Peters Engineering College, Hyderabad
B. Tech in Computer Science and Engineering • Hyderabad • 2017 – 2021
Narayana Junior College, Hyderabad
CBSE (Class XII) • Hyderabad • 2015 – 2017
Scholar Grammar School, Jangaon
SSC (Class X) • Jangaon • 2014 – 2015
Certifications
HackerRank SQL Basic Certificate — HackerRank
HackerRank SQL Intermediate Certificate — HackerRank
HackerRank SQL Advanced Certificate — HackerRank
Full Stack Data Science — INeuron.ai
Cyber Security Techniques — Gurgaon Police Cyber Security Bootcamp
Achievements
- HackerRank SQL Basic Certificate: Earned HackerRank SQL Basic certification demonstrating foundational SQL skills.
- HackerRank SQL Intermediate Certificate: Earned HackerRank SQL Intermediate certification demonstrating intermediate SQL query skills.
- HackerRank SQL Advanced Certificate: Earned HackerRank SQL Advanced certification demonstrating advanced query and optimization skills.
- Full Stack Data Science: Completed Full Stack Data Science program from INeuron.ai covering EDA, modeling, and dashboarding.
- Cyber Security Techniques Bootcamp: Completed a cyber security techniques bootcamp organized by Gurgaon Police.
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