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RANJITHA G.S.

Designation: Data Analyst

E-mail: [email protected]

LinkedIn: www.linkedin.com/in/ranjitha-gs-801420298

GitHub profile: https://github.com/gsranjitha897/gsranjitha897

Hi there! 👋

I'm Ranjitha G.S., a passionate Data Analyst from Bengaluru, India. Welcome to my GitHub profile! https://github.com/gsranjitha897/gsranjitha897

About Me

💼Currently working as a Data Analyst, with 3+ years of experience in the field. 🎓 Graduated with a Bachelor's degree in Computer Science and Engineering from Dr. SMCE, VTU Belagavi in 2017. 📊 Skilled in extracting insights from complex datasets and contributing to data-driven decision-making. 💻 Proficient in Oracle, Python, Postgres SQL, Power BI, Tableau, and Machine Learning. 🌱 Constantly learning and exploring new technologies to enhance my skills.

Professional Experience

Data Analyst | Bepec Solutions Pvt Ltd | Conducted data analysis, interpretation, and extraction of valuable insights. Specialized in Data modelling, Data visualization, Predictive analytics, and Dashboard development.

Technical Support Engineer | Idea Infinity IT Solutions Pvt Ltd | Contributed to project-related forms and addressed development challenges. Resolved data-level and application-level issues, specializing in Oracle, PostgreSQL, and Python.

Junior Software Developer Intern | National skill developement counsil | Learned Programming C, Java, HTML, SQL. Learned Basics of DDL, DML commands.

Technical Skills

1. Operating System: WindowsXP, Fedora, Unix

2. IDE/BI Tools: Eclipse, PyTorch, Tensorflow, Jupyter Notebook, Google colab, Tableau, Microsoft Power BI

3. Programming Language: C, C++, Java, JavaScript, HTML, SQL, Python

4. Database: MS Excel SQL, Oracle, Postgres SQL, MySQL

5. Area of Interests: IOT and Big Data

6. Statistics: Descriptive, Inferential statistics, Outliers, Hypothesis testing, Confidence interval, T-Test, Z-test

7. Machine Learning: Machine Learning Algorithms, ML Model building

Projects

Data Analyst Projects

A. “Credit Card Default Case Study Analysis” Analyzed credit card default case study for a leading bank facing challenges due to over-issuance and increased default rates. Utilized Python libraries including seaborn, matplotlib to visualize behavioral patterns key insights.

B. "Dynamic Sales Analysis Dashboard for DMart" Designed and implemented a dynamic and interactive dashboard for daily sales analysis at DMart. Analyzed sales distribution across various categories, providing insights into the performance of different product lines.

C. "Employee Performance Enhancement - INX Future Inc" Led a data science initiative to address declining performance indexes and client satisfaction at INX Future Inc. Developed machine learning models for predictive analysis, resulting in improved employee performance and satisfaction.

Certificates and Training

1. Data science 101 - May 2024 - Link (https://simpli-web.app.link/e/donO1T4ZDJb) at Simplilearn

2. Intoduction to Artificial Intelligence - May 2024 - Link (https://simpli-web.app.link/e/v0ow0iKtDJb) at Simplilearn

3. Full Stack Data analytics from Oct 2023 to Jan 2024 at BEPEC Solution.

4. Junior Software Development (JSD) at Pradhan Mantri Kausalya Vikas Yojana (PMKVY) Nelamangala.

5. Internship based on IOT Raspberry Pi from Feb 2017 to May 2017 at Inventeron Technologies and Business Solutions LLP.

Educational Qualification

1. Bachelor's in Computer Science and Engineering at Dr. SMCE, affiliated with VTU Belagavi in 2017 with a score of 70%.

2. Completed PUC (PCMB) at Rural PU College under the Pre-University Board in 2013 with a score of 58%.

3. Completed SSLCat Morarji Desai Residential School under the Karnataka SecondaryEducation Exam Board in 2011 with a score of 82.24%.

I hope you find the information here useful! Feel free to explore my repositories and connect with me on LinkedIn for any collaboration opportunities or inquiries.