RANJIT MITKAL
+91-7057574695 ⋄ Hyderabad
ranjitmitkal5757@gmail.com ⋄ www.linkedin.com/in/ranjit-mitkal-31228b202
OBJECTIVE
Data Analyst with ½ Year Experience in project work. Working on 6 real time projects in Data Analysis, Statistics
and Machine Learning, Deep Learning, NLP. Skilled in Data Analysis, Data Visualization, Statistics, Python, Excel
and R Programming.
EDUCATION
Master of Science in Statistics
Modern College of Arts, Science and Commerce Shivajinagar, Pune. 2023
Bachelor of Science in Statistics
VP’s Arts, Science and Commerce College, Baramati 2020
SKILLS
Programming Languages Python, SQL, R
Data Analysis Statistical Analysis, EDA, Data Visualization, Data Cleaning, Preprocessing
Machine Learning Algorithms Linear/Logistic Regression, Decision Tree, Random Forest, SVM, XGBoost,
LightGBM, PCA, Clustering
Deep Learning Neural Network Architecture, CNN, RNN, LSTM
Natural Language Processing Text Preprocessing, Tokenization, NER, Sentiment Analysis , Word2Vec
Text Classification
Database and Query Languages SQL, MySQL
Computer Vision Image Preprocessing, Object Detection, Image Segmentation, Image
Classification
PROJECTS
Advanced Image Classification: Utilized advanced deep learning models, including ResNet50 for Transport
Vehicles and VGG16 for Wild Animals and VGG19 for Fruits classification. Trained these models on the ’ImageNet’
dataset, showcasing expertise in leveraging pre-existing frameworks for accurate image categorization.
Speech Recognition: Developed a Speech Recognition system using the ‘SpeechRecognition’ package, showcasing
proficiency in converting spoken language into text. Implemented the project to enhance accessibility and user
experience through accurate and efficient speech-to-text conversion.
Vehicle Detection and Counting System: Developed a real-time Vehicle Detection and Counting System using
OpenCV, Haar Cascades, and custom algorithms for efficient identification and counting of vehicles. The system
finds applications in traffic monitoring, parking management, and city planning, offering insights for optimized traffic
flow, enhanced security, and informed urban infrastructure development.
Customer Segmentation: Implemented a K-means clustering algorithm to categorize customers based on income,
and spending patterns.Utilized customer segmentation to gain valuable insights into distinct customer groups, enabling
the development of targeted marketing strategies and personalized campaigns.
CERTIFICATION
• NASSCOM Certified Full Stack Data Science and AI
