Prithvi Kaklotar
Summary
Career Summary Data Science professional with expertise in machine learning, neural networks, pipelines and business analysis. Highly skilled in data cleaning, analysis, data engineering and project management. Achieved cost savings and reduced timelines. Strong communication and collaborative abilities. Holds AWS certifications and academic achievements in AI and Big Data Analytics
Overview
1
1
year of professional experience
Work History
Data collection and data clerk
Wealth group financial
Mumbai, India
02.2021 - 01.2022
- Demonstrated exceptional data entry skills with a focus on accuracy and attention to detail
- Utilized intermediate knowledge of Excel for efficient data processing, including filtering and spreadsheet navigation
- Executed data entry tasks in compliance with established rules and regulations, ensuring data quality standards were met
- Reviewed and corrected data entry errors, contributing to the overall accuracy of records
- Collaborated with team members to streamline data management processes and enhance overall efficiency
- Employed organizational skills to manage tasks and responsibilities, consistently meeting deadlines
- Utilized SQL for data manipulation and retrieval, contributing to enhanced data processing capabilities
- Implemented Python scripting for task automation, improving workflow efficiency.
Education
AWS Academy Machine Learning Foundations -
AWS Academy Machine Learning for Natural Language Processing -
AWS Academy
Post-Graduate -
Georgian College
Bachelors - Electrical & Electronics Engineering
VIT University
Skills
- Languages
- Python
- SQL
- C
- Frameworks
- TensorFlow
- PyTorch
- Beautiful Soup
- PySpark
- Apache Spark
- Amazon Alexa Skills
- Azure Cloud
- Google Cloud Platform
- Amazon Web Service (AWS)
- Weka
- Tableau
- Microsoft Power BI
- Hadoop
- Hive
- SparkSQL
- NLTK
- MS Excel
- Data Science Skills:
- Data Analytics and Analysis
- Big Data
- Data Forecasting
- Natural Language Processing
- Neural Networks
- Computer Vision
- Machine Learning
- Data Mining
- Analytical Thinking
Accomplishments
- Algo Trading Project Githubdiv-link
- Used OCR tech to collect data as the financial data was not easily available through API of the website, use ocr and PYGUI auto to web scrape the data.
- Preprocessing the data clean, analyzing trends preparing a ready to use data in excel
- Creating a algorithm that tracks the value based on candlesticks to generate buy and sell signals
- Tested the algo in Jupyter notebook environment creating a paper trade environment
- Future updates would be test the algo in real time market via paper trade using brokers API.
- Social Data Mining Githubdiv-link
- Used NLP techniques to refine the data and develop a better insight on the data.
- Used lemmatization stemming word tokenization to develop a text classification
- Preprocessing data for sentiment analysis.
- Collecting data and maintaining proper storage
- Credit card fraud detection: Githubdiv-link
- Implemented a 5-layer deep neural network using a sequential model architecture, with Rectified Linear Unit (ReLU) activation function for hidden layers
- Rained the model using binary crossentropy loss function and Adam optimizer
- Achieved 98% accuracy in fraud detection classification task
- Valuated model performance using precision, recall, f1-score, and confusion matrix, demonstrating 95% precision and 73% recall
Languages
English
Full Professional
Timeline
Data collection and data clerk
Wealth group financial
02.2021 - 01.2022
AWS Academy Machine Learning Foundations -
AWS Academy Machine Learning for Natural Language Processing -
AWS Academy
Post-Graduate -
Georgian College
Bachelors - Electrical & Electronics Engineering
VIT University