Personal details
Anand R.
Based in: 🇮🇳 India
Timezone: Mumbai (UTC+5.5)
About
Offering 5 years of exposure to data science and software development. Highly organized and efficient, with an in-depth knowledge of statistical approaches and the ability to research. Has exposure to energy, clinical education, medicine, and real estate domains.
Proficient in the following technologies:
- Machine Learning modeling techniques like Regression, Classification, and Deep Learning
- Artificial Intelligence Neural Network development like NLP, Computer Vision (CV), Time Series, RNN and CNN
- Statistical data modeling using both supervised and unsupervised learning
- In-depth Exploratory Data Analysis
- ETL software like Tableau, PowerBI, and Excel
- Languages like Python, SQL, R
- Packages like TensorFlow, Keras, Pandas, Flask, Scikit Learn, MatplotLib, Seaborn
- Jupyter, AWS, GCP, Azure, Git
Work Experience
Data Scientist
Freelance | Apr 2022 - Present
Python
SQL
Flask
Tableau
AI
- added object (people/license plate/other) recognition (YOLO) to a surveillance feed.
- interacted with stakeholders to manage the storage of facial data.
- processed over 1 million images per day to add more recognized objects.
Product Analyst
Exxat Systems | Sep 2021 - Feb 2022
SQL
Excel
Azure
• Analyzed raw data and other user requirements from raised issues to build student and examiner evaluations using the STEPS platform
• Engaged and drove Director level (client) communications, presentations, and resolutions
• Coordinated and partnered with colleagues across various teams and levels and achieved targets
before or on time
• Provided follow-up support to clients on requested modifications on a timely basis
Projects
Diabetes Prediction
Python
NumPy
Matplotlib
Pandas
TensorFlow
Using a Kaggle dataset, I used Logistic Regression, Naive-Bayes, and Random Forest Algorithm to predict the presence, absence, and onset of diabetes among a group of individuals surveyed for indicators of health. Achieved the highest accuracy of 80%.
Blood Cells Classification - ResNet
Image Processing
NumPy
Matplotlib
Deep Learning
Artificial Neural Networks
TensorFlow
Keras
Based on a Kaggle dataset of microscopic images, built a custom CNN model to identify 4 kinds of blood cells at 92% accuracy with optimal training cycles.
Education
IU International University of Applied Sciences
Master's degree・Data Science
May 2022 - Jul 2023
Navrachana University
Bachelor's degree・Computer Applications
Jun 2013 - Aug 2017
Certifications & Awards
Data Science ProDegree Certificate
Imarticus Learning | Dec 2018
Cloud Certification
NIIT Limited | Nov 2015