Nese Jayanth
Aspiring Data Analyst • Bangalore, India • n*************@gmail.com • +91*******767
Professional Summary
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI and data visualization. Demonstrated ability to extract, clean, and transform data, build ETL pipelines, perform exploratory data analysis, and deliver interactive dashboards that support data-driven decisions. Seeking an entry-level Data Analyst role where I can apply analytical skills to drive business insights and improve reporting efficiency.
Technical Skills
Programming Languages: Python,R
Frameworks and Libraries: Matplotlib,Seaborn,Pandas,NumPy,Scikit-learn,Jupyter Notebook
Databases: SQL,MySQL,SQLite,ETL pipelines,Data Modeling
Data and Analytics: Power BI,Tableau,DAX,Exploratory Data Analysis,Data Cleaning,Data Wrangling,Statistical Analysis,KPI Reporting,Excel
Tools and Methodologies: Git
Other: Dashboarding,Data Validation,Feature Engineering
Work Experience
Rooman Technologies
Bangalore, India
Data Analyst Intern
Mar 2025 – May 2025
Tech Stack: Python, Pandas, NumPy, SQL, MySQL, Power BI, DAX, Matplotlib, Seaborn, Excel, Jupyter Notebook, Git
- Extracted, cleaned and transformed sales and operational datasets using Python (Pandas) and SQL, consolidating multiple sources into analysis-ready tables and reducing data preparation time by 30%.
- Designed and developed interactive Power BI dashboards with DAX measures and dynamic visuals to track core KPIs and enable stakeholders to monitor performance and product trends.
- Conducted exploratory data analysis with Python, Matplotlib and Seaborn to surface seasonality, top-performing SKUs and anomalies; translated findings into actionable recommendations for sales and inventory teams.
- Automated data validation and cleansing routines (missing value handling, deduplication, schema checks) using Python scripts, improving data reliability for downstream reporting and analysis.
- Implemented ETL-style data preparation processes and scheduled data refreshes to ensure timely reports and reduce manual reporting cycles across teams.
- Collaborated with product, sales and engineering stakeholders to define data requirements, produce ad-hoc analyses in Excel/Power BI and communicate insights to non-technical audiences.
Projects
Sales Data Analysis Dashboard | 2024 – 2024
Tools Used: Python, SQL, Power BI, DAX, Pandas
- Built an interactive Power BI dashboard to analyze chocolate sales performance across regions and time periods, enabling drill-down by product and region.
- Authored DAX measures for revenue, growth and rolling averages and implemented slicers and drill-through to support exploratory analysis.
- Performed data extraction and transformation using SQL and Python, and used EDA to identify seasonal sales patterns that guided promotional planning.
- Improved reporting efficiency by automating data refresh and consolidating KPIs into a single dashboard for business users.
AI-Based Resume Screening System | 2024 – 2024
Tools Used: Python, Pandas, Scikit-learn
- Developed a machine learning pipeline to automate resume screening and candidate ranking using feature extraction and classification techniques.
- Performed data preprocessing, tokenization, TF-IDF feature engineering and model evaluation to improve screening accuracy.
- Packaged preprocessing and inference steps into reusable Python scripts; achieved approximately 50% reduction in manual resume processing time during testing.
Education
JNTUA College of Engineering
B.Tech in Computer Science and Engineering • Kalikiri, India • Jan 2025
Sri Balaji Junior College
Intermediate (MPC) • Pulivendula, India • 2021
Certifications
Python 101 for Data Science — IBM Cognitive Class
SQL and Relational Databases 101 — IBM Cognitive Class
Accenture Data Analytics & Visualization Job Simulation — Forage
Deloitte Data Analytics Job Simulation — Forage
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