Skill Sets

Machine Learning

Python

Tableau

SQL

Amazon Web Services (AWS)

Deep Learning

Git and GitHub

Excel

PORTFOLIO

Machine Learning / Deep Learning

Digital Marketing Conversion Prediction

This project aims to enhance campaign effectiveness in the digital marketing sector by accurately predicting customer conversions. By leveraging machine learning, the project seeks to identify potential converters and optimize marketing strategies. The objective is to develop a robust machine learning model that predicts customer conversions based on various demographic and engagement factors, enabling improved campaign targeting, increased conversion rates, and maximized return on advertising spend (ROAS).

CIFAR-10 Data Prediction




The CIFAR dataset contains 60,000 images across 10 classes, widely used for training machine learning models in image classification. We are leveraging this dataset to develop and enhance algorithms for object recognition, focusing on optimizing model accuracy and generalization. Our process includes image preprocessing, applying various classification techniques, and evaluating model performance across different categories.



MNIST Data Predcition




The MNIST dataset consists of 70,000 handwritten digits, commonly used for training and testing image classification models. We are utilizing this dataset to develop and refine machine learning algorithms for digit recognition, focusing on improving accuracy and model performance. Our approach involves preprocessing the images, implementing various classification algorithms, and evaluating their effectiveness in identifying handwritten digits.



Data Analysis

Sales Data Analysis

In our Sales Data Analysis project, we conducted a comprehensive analysis of sales data for the year 2019. Using Python, we consolidated 12 separate CSV files containing monthly sales data into a single file. Through data cleaning, manipulation, and visualization, we extracted insights, identified patterns, and provided recommendations for improved sales performance.

HR Data Analysis

Our project involves an extensive analysis of the HR_data CSV file to extract valuable information and gain insights. By visualizing the data, we aim to uncover patterns and trends that can guide organizations in making informed HR decisions. Through thorough analysis, we provide meaningful interpretations and recommendations based on the findings.

Crime Data Analysis

Embark on an exploration of the comprehensive analysis of Crime Data for the year 2017, revealing patterns and valuable insights regarding common offenses, crime trends, and peak activity periods. Engage with data visualizations, informative reports, and strategic recommendations to bolster crime prevention strategies and foster safer communities.

Certifications

AWS Certified Cloud Practitioner

The AWS Certified Cloud Practitioner certification validates foundational cloud knowledge and understanding of AWS services, showcasing my foundational understanding of cloud concepts, AWS services, security, and pricing. This certification reflects my commitment to staying current with essential cloud technologies.

AWS Certified Cloud Practitioner

The AWS Certified Solutions Architect - Associate certification validates expertise in designing distributed systems on the Amazon Web Services (AWS) platform, showcasing my proficiency in designing scalable and secure cloud solutions on the AWS platform, with a proven ability to translate business requirements into robust architectures.

About Me

Hello! I'm a passionate Computer Science enthusiast driven by the transformative power of data. With a proven track record in developing and deploying machine learning models, creating impactful data visualizations, and distilling insights from extensive datasets, I thrive on solving real-world problems.

Previous Role: In my previous role as a Data Scientist Trainee / Data Analyst Trainee at TuringMind.Ai, I led diverse projects applying these skills in practical scenarios. Notably, I designed a dynamic data visualization dashboard to monitor sales performance, enabling the identification of trends and opportunities.

Professional Traits: As a highly motivated and results-oriented professional, I bring robust problem-solving abilities and meticulous attention to detail. Confident in my capability to contribute significantly to your team, I am eager to apply my skills and experience.

Communication Skills: Beyond technical prowess, I excel in communication and collaboration. I possess the knack for translating complex technical concepts into understandable language for non-technical audiences. My ability to work seamlessly with cross-functional teams ensures a collective drive towards common goals.

Excitement for Impact: Excited about joining a team dedicated to leveraging data for positive change, I believe that my skills and experience will be a valuable asset. I am confident in my ability to make a substantial contribution to your team's success.

LET'S MAKE A POSITIVE IMPACT TOGETHER!!

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