Hi, I'm Pranjil Martin.
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An aspiring Data Analyst with a strong foundation in transforming raw, unstructured data into actionable insights.
About
I’m Pranjil Martin, an aspiring Data Analyst with a strong foundation in transforming raw, unstructured data into actionable insights. I have completed my Master's in Computer Applications from Banasthali Vidyapith , and I am currently pursuing a Postgraduate Program in Data Science from IIIT Bangalore. I have over 2 years of experience in various fields and am currently working as a freelancer. I am now looking to transition my career into the field of data analysis. During my postgraduate program, I have gained expertise in data visualization, data preparation, and analysis using tools like SQL, Excel, and Python.
- Programming: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL
- Visualization Tools: Matplotlib, Seaborn, Excel (Pivot Tables, Charts), Power BI
- Data Analysis: Data Cleaning, Exploratory Data Analysis (EDA), Dashboard Design, Reporting
- Statistical Analysis: Linear & Logistic Regression, Hypothesis Testing
- Machine Learning:scikit-learn, Model Evaluation
I am eager to collaborate with professionals and teams in the data analysis field, where we can share knowledge, innovate, and grow together.
Experience
- Delivered client projects by fulfilling requirements and ensuring quality data outputs.
- Conducted email pulling and web research on medicinal data for comprehensive analysis.
- Conducted in-depth web research and data extraction for client-driven projects, delivering detailed reports on medicinal trends that informed strategic product development.
- Utilized advanced Excel functions (VLOOKUP, data cleaning) to efficiently analyze and present data.
- Cleaned and transformed complex data sets, improving reporting efficiency and accuracy by 20%.
- Tools: Excel (Pivot table, charts)
- Generated customized training data for machine learning projects, enhancing data quality with Excel-based data cleaning techniques, improving model accuracy by 20%.
- Automating business processes through workflows supported by human labour.
- Performed Text Annotation for Larsen & Toubro Infotech, achieving 95% accuracy and used Excel to track, manage, and organize large data sets efficiently.
- Led data cleaning initiatives in Excel, applying VLOOKUP, SUMIFS, and IFERROR to ensure 99% data quality for client deliverables.
- Tools: Excel (Pivot table, charts)
- Collaborated in a team setting to analyze client data, identify key trends, and deliver actionable insights that supported data-driven business decisions.
- Conducted comprehensive Exploratory Data Analysis (EDA) using Matplotlib, Seaborn, and Pandas to uncover trends, correlations, and outliers, providing valuable insights for model development.
- Performed data cleaning, including handling missing values, outliers, and feature engineering, ensuring high-quality, preprocessed data for accurate predictive modeling.
- Applied One-Hot Encoding and feature scaling techniques to prepare data for machine learning algorithms, contributing to the overall model accuracy.
- Worked closely with team members to ensure clean, structured data ready for application in predictive models built using Scikit-learn. Tools:
- Python (Pandas, Numpy)
- Matplotlib and Seaborn (for EDA and visualization)
- Scikit-learn (for data preprocessing, model building, and evaluation)
- Statsmodels (for statistical analysis and model validation)
- Excel (for initial data exploration and manipulation)
- Generating quality customized training data for machine learning initiatives. Automating business processes through workflows supported by human labour.
- Did Image annotation, video annotation and Aerial Image Annotation on various project to give high quality dataset for ML and AI for company’s product.
- Worked for various projects like Walmart, Alarm, nuro.ai, Alegion etc.
- Can annotate 500 images of data frame.
- Tools: Annotation Tools
- Handling clients for digital marketing strategies involving SEO, SMM, Content Management, Link-Building etc.
- SEO:- Did SEO for company website as well as various corporate clients , mainly on-page and off-page activities to bring traffic for company website and improve ranking on Google.
- SMM:- Did brand awareness and promotion on social media sites like Facebook, Instagram, twitter.
- Increased likes and comments by 20 % on social media platforms.
Projects
Boom Bike sharing Demand Designed a predictive model for a bike sharing service to estimate demand fluctuation post-Covid-19.
Strategic Credit Risk Assessment through Advanced EDA
- Tools: Pandas, Numpy, Matplotlip, Seaborn, EDA
- This case study aims to identify patterns which indicate if a client has difficulty paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.
Analyzed past movie data to help RSVP Movies strategize their global film release.
Skills
Languages and Databases
Python
MySQL
Libraries
NumPy
Pandas
scikit-learn
matplotlib
Tools
Excel
AWS
Certificates
Education
International Institute of Information Technology Bangalore
Bangalore
Degree: Postgraduate Program in Data Science
Specialization in Data Analyst
Year: 2024 - Present
Jaipur
Degree: Masters in Computer Application
Specialization in Computer Application
Year: 2013 -2016