Sahas Patharde

Data Analyst (Entry Level)

Aspiring Data Scientist with hands-on experience in Exploratory Data Analysis, Descriptive Analysis, Predictive Analysis, and Data Visualization seeking a role in an organization that provides me an opportunity to learn and enhance my skills.

adymj9@r.postjobfree.com 096********

Chandrapur, India linkedin.com/in/sahas-patharde-9148461bb github.com/SahasPatharde/Projects-Did-in-NIIT?search=1 EDUCATION

Advanced Post-Graduate-Program

NIIT

09/2022 - 05/2023, Bangalore

Data Sciences And Machine

Learning

Bachelor of Engineering

Sinhgad College Engineering

08/2017 - 05/2021, Pune - 7.48

Mechanical Engineering

Diploma

Somayya Polytechnic

06/2014 - 05/2017, Chandrapur - 72

Mechanical Engineering

PROJECTS

AMAZON PRODUCT REVIEW ANALYSIS

Capstone Project.

04/2023 - 04/2023, Bangalore

Duration : 10 days

Objective : Customer retention strategy through feedback analysis, developed an automated system to analyze and monitor an enormous number of reviews customer segmentation and product recommendation.

Tools/Techniques : Anaconda 3, Google Collab, Exploratory Data Analysis (EDA), Sentiment Analysis (NLP), Machine Learning

(clustering and classification models), Time Series Analysis and Forecast, Tableau (silhouette score: 0.41 accuracy: 85.47% . ) Analyzed and interpreted customer requirements.

Resolve customer disputes courteously to enhance customer satisfaction.

Analyzed customer trends and provided insights to improve customer experience.

Built professional and trusting relationships with key customers and leveraged existing relationships via social media. Answered customer questions about products and services, helped locate merchandise, and promoted key items.

PROJECT [HOUSE GRADE

PREDICTION]

Logistic Regression Project (ML) (02/2023 - 02/2023) Objective : Group the houses into different categories based on various parameters. Tools/Techniques : Logistic Regression Model accuracy is 95.56% SKILLS

Advance excel MySQL Python Data Science

Tableau dashboard Machine Learning

Natural Language Processing (NLP) Time Series Analysis Data Analytics Communication skills flexible

time management

ML - PROJECTS

STORE SALES PREDICTION (03/2023 - 03/2023)

Objective : Used various Supervised Machine Learning Regression Models. Tools/Techniques : Linear Regression, Ridge CV, Decision Tree Regressor, and Random Forest using Bagging, Boosting, and Stacking Coached sales associates in product specifications, sales incentives, and selling techniques, significantly increasing customer satisfaction ratings. CERTIFICATES

PGP In Data Science and Machine Lerning (09/2022 - 05/2023) TECHNICAL SKILLS

Learned (09/2022 - 05/2023)

• Machine Learning • Microsoft Excel • Microsoft PowerPoint • Python • MySQL • Data Visualization • Predictive Modeling • Modeling • Dashboards • Tableau • Time Series Analysis • Natural Language Processing (NLP) • Data Engineering • Data Modeling • Deep Learning • Data Cleaning • Analytics • Data Analytics • Predictive Analytics

LANGUAGES

English

Professional Working Proficiency

Hindi

Native or Bilingual Proficiency

Marathi

Native or Bilingual Proficiency

AWARDS

State Level Football Player I - Zone Tournaments (2016) Winner of District Level Technical Project (2017)

Final year Project Plublication Certification (2021) Courses

Courses

Courses

Achievements/Tasks

Contact this candidate