Prithvi Kaklotar

Email: adz6oh@r.postjobfree.com Phone: +1-416-***-**** Linked-In Portfolio 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 Work Experience

Promly, Etobicoke, ON, Canada May 2022 - Aug 2022

Professional Experience: Data analyst

• Conducted web scraping using Beautiful Soup in Python to aggregate data on teenage depression from various sources. The collected data was consolidated and cleaned meticulously to ensure accuracy.

• Employing Python's Matplotlib and Seaborn libraries, I created diverse graphs and charts to represent predictions and analyses, providing clear visual insights into the data.

• Furthermore, I utilized Power BI to present the data in a business-oriented manner, enabling the client to grasp complex information easily and make informed decisions. This experience honed my skills in data collection, manipulation, visualization, and effective communication.

• Facilitated regular team meetings with both internal team members and stakeholders to ensure effective communication and collaboration throughout the project lifecycle.

• Skillfully integrated their valuable insights, ideas, and requirements into the project, fostering a cohesive and productive working.

Academic Projects

Algo Trading Project

• 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. Regressor Neural Network Architecture:

• Designed a neural network architecture tailored for regression tasks.

• Utilized multiple hidden layers with varying numbers of neurons to capture complex relationships between input features and target prices.

• Selected appropriate activation functions, such as ReLU (Rectified Linear Unit), for the hidden layers.

• Implemented mini-batch training with backpropagation to update the network's weights and biases.

• Utilized mean squared error (MSE) as the loss function to measure the model's performance.

• Explored different hyperparameters like learning rate, batch size, and the number of hidden layers.

• Employed techniques like grid search or random search to find optimal hyperparameter combinations that minimized the validation loss.

Social Data Mining

• 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.

Inventory Management System

• Developed a distributed inventory management system using Python and Apache Cassandra.

• Created and configured a Cassandra cluster, establishing seamless connections between nodes for efficient data distribution.

• Designed and implemented optimal data models, choosing appropriate primary keys and secondary indexes.

• Crafted CQL queries to retrieve real-time inventory data, facilitating timely decision-making for stock replenishment.

• Ensured data consistency and availability by implementing replication strategies and leveraging Cassandra's built-in features.

Chatbot using Google dialog flow

• Designed a chatbot on google dialog flow “joe the job bot” which helps user to build resume and apply for jobs based on the skill

• Python flask route and Heroku for the fulfillment

• Integration of chatbot with telegram using API training and 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

• Effective Communication

• Data Cleaning and

Preprocessing

• Data Governance and

Warehousing

• Interactive Data Visualization

• Cluster Analysis

• Business Analysis

• Database Modelling

• Data Warehousing

• Data Integration

• Relational Database

• Technical Documentation

• Data-Driven Decision Making

• Project Planning

Other Skills

• Heroku

• CSS

• Flask

• Html

Certifications

1. AWS Academy Machine Learning Foundations

2. AWS Academy Machine Learning for Natural Language Processing 3. AWS Academy Cloud Foundations

Education

Post-Graduate Certification in Artificial Intelligence Design and Implementation – Georgian College Honor – Dean’s List Academic Achievement Award

Post-Graduate Certification in Big Data Analytics – Georgian College Honor – Dean’s List Academic Achievement Award

Bachelors in Electrical & Electronics Engineering – VIT University, Chennai

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