Machine Learning Data Science

RESUME

Name: Miss. Sakshi Bharat Rathod

Mob No.: +917*********

E-mail: ****************@*****.***

LinkedIn: http://linkedin.com/in/sakshi-rathod-6185aa29a

DATA SCIENCE

CAREER OBJECTIVE

Highly motivated individual with a strong track record of performance in handling relationship management

activities to identify and define business requirements, and translate business needs into complex models.

Competent at identifying different data sources and providing associated data modelling and data visualization.

KEY SKILLS

SKILLS

Programming Language: - Python R

Machine Learning and AI: - Supervised Machine Learning Unsupervised Machine Learning Exploratory

Data Analysis Feature

Engineering Hyper Parameter Optimization Time Series Analysis & Forecasting Predictive Modelling

Deep Learning: - Artificial Neural Networks Recurrent Neural Networks Convolution Neural Network

Optimization Techniques

OpenCV (Image and Video Processing)

Natural Language Processing: - Text Summarization Web Scrapping Sentiment Analysis Speech

segmentation Speech

recognition Text-to-speech Tokenization Text Mining Text Preprocessing

Operating System: - Windows

Database: - MySQL

Software: - Anaconda Spyder Jupyter Notebook R studio Spark Hadoop Tableau

Frameworks & Libraries: -

Pandas NumPy Matplotlib Seaborn TensorFlow Yolo Keras Flask Scikit-learn SciPy NLTK

OpenCV Spacy Mediapipe

BeautifulSoup PyTorch Statsmodels

COURSE AND CERIFICATION

NASSCOM certified full stack data science and AI, HYDERABAD.

PROJECTS

Project Work: -Price Prediction

Overview: In this dataset we predict the price of avocados. The dataset represents weekly 2018 retail scan

data for National retail volume (units) and price.

Technology: EDA, Visualization, Training and Testing, Pre-processing

Libraries: Pandas, NumPy, Matplotlib, Seaborn

Project Work: -Bank Loan Default Risk Analysis

Overview: The Bank Loan Risk Analysis Project aims to develop a comprehensive risk assessment

framework for evaluating the creditworthiness of loan applicants. This project plays a crucial role in

ensuring that the bank can make informed lending decisions, minimize credit losses, and maintain a

healthy loan portfolio. The project involves the analysis of various data sources and the utilization of

advanced data analytics and machine learning techniques to assess the potential risks associated with loan

applicants.

Project scope: Define project scope, objectives, and deliverables. Create a project plan and timeline.

Allocate resources and manage the project team. Oversee the project's budget and ensure cost control.

Communicate with stakeholders and report project progress. Ensure that the project is executed according

to regulations and compliance standards.

Data Acquisition: Identify and source relevant data for loan applicants. Collaborate with data providers

and maintain data quality. Ensure data privacy and compliance with regulations (e.g., GDPHIPAA).

Data Preprocessing: Clean and preprocess raw data to remove errors and inconsistencies. Handle missing

data and outliers. Perform feature engineering to create meaningful input variables.

Data Analysis: Analyze historical loan data to identify trends and patterns. Use descriptive statistics to

gain insights into loan performance. Identify key risk factors that impact loan default rates.

Risk Assessment: Evaluate loan applicants based on the developed models. Calculate credit scores and

risk probabilities. Develop strategies for different risk segments (e.g., high-risk, medium-risk, low-risk).

Model Deployment: Deploy the credit risk models into the bank's systems. Monitor model performance

and retrain as necessary. Implement an automated decision-making process for loan approvals.

Compliance and Reporting: Ensure the project adheres to legal and regulatory requirements. Generate

regular reports on loan portfolio risk and performance. Communicate findings and recommendations to

senior management and regulators. Continuous Improvement: Monitor the project's effectiveness and

adapt to changing market conditions. Seek ways to enhance the accuracy and efficiency of risk

assessment. Stay updated on industry best practices and emerging technologies.

Documentation: comprehensive documentation of the project's processes and findings. Ensure all

procedures and models are well-documented for transparency and audit purposes.

Collaboration: Collaborate with various departments, including IT, legal, compliance, and risk

management, to ensure alignment with the project's objectives.

Change Management: Assist in implementing necessary changes within the organization based on

project findings and recommendations. This project requires a multidisciplinary team with expertise in

data analysis, machine learning, risk management, and regulatory compliance to successfully develop a

robust loan risk analysis framework and enhance the bank's lending practices.

Technology: Python, EDA, Data Visualization, Data Cleaning

Libraries: Pandas, NumPy, Seaborn, Matplotlib

Project Work: Student Mark Predictor model with deployment

Overview: This project aims to predict the student’s academic performance and thereby taking early steps

to improve student’s performance. Through this project we can calculate how many hours need to study to

get more mark using linear regression model.

Technology: Python, Linear Regression, flask

Libraries: Pandas, NumPy, Matplotlib, flask

Project Work: Language translation

Overview: Dedicated and skilled translator with expertise in translating various types of content between

French and English, Hindi, Telugu, and German. Adept at preserving the integrity and nuances of the

source language while ensuring accuracy and cultural relevance in the target language. Proficient in

translation tools and software to enhance efficiency. Strong communication skills and ability to

collaborate effectively with clients to understand their specific translation needs. Experienced in delivering

high-quality translations within tight deadlines. Committed to providing linguistic solutions that bridge

language gaps and facilitate seamless cross-cultural communication.

Technology: Python, Spacy

Libraries: Langdetect, googletrans

Project Work: 3D Face Transform

Overview: "3D Face Transform" along with other relevant skills such as computer vision, machine

learning, and artificial intelligence. mediapipe that process live or recorded video, audio, and sensor

data. It provides a variety of pre-built solutions for common ML tasks, such as face detection, hand

tracking, and pose estimation. MediaPipe is open source and can be used for a variety of applications,

such as augmented reality (AR), virtual reality (VR), and video conferencing.

some specific examples of how MediaPipe can be used:

Face detection: MediaPipe can be used to detect faces in images and videos, even in challenging

conditions such as low light or occlusion.

Hand tracking: MediaPipe can be used to track the position and orientation of hands in images and

videos.

Pose estimation: MediaPipe can be used to estimate the 3D pose of the human body from images and

videos.

Image classification: MediaPipe can be used to classify images into different categories, such as

people, objects, and scenes.

Object detection and tracking: MediaPipe can be used to detect and track objects in images and videos.

Optical character recognition (OCR): MediaPipe can be used to recognize text in images and videos.

Technology: Python, OpenCV

Libraries: Opencv, NumPy, PIL, Urllib, Mediapipe, Matplotlib.pyplot, Time

EDUCATIONAL QUALIFICATION

UIBachelor of Engineering and Management:

Passed with CGPA 6.67 in June 2023

R. T. M. Nagpur University, Nagpur (M.S.).

HSSC:

Passed with 60.00% in February 2019

N.P. K. Jr. College Sakoli Dist. Bhandara (M.S.).

SSC:

Passed with 70.00% in March 2017

K.K High School Sakoli Dist. Bhandara (M.S.).

PERSONAL DETAILS

Name : Sakshi Bharat Rathod

Father Name : Bharat Maroti Rathod

Date of Birth : 28st February 2002

Gender : Female

Marital Status : Single

Languages Known : English, Hindi and Marathi

Permanent Address : At- sakoli Tahsil- sakoli Dist. Bhandara (M.S.) - 441802

Contact No. : +91-749*******

E-mail : ****************@*****.***

DECLARATION

The above-mentioned information is true and correct to the best of my knowledge and belief. If I am selected

and given a chance to serve in your esteemed organization, I shall prove my best and ability to the entire

satisfaction of my superiors.

Place: Yours Faithfully

Date: (Sakshi B. Rathod)

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