Priyanshi Shukla

Data Scientist

https://talent.gravityer.com/priyanshi-shukla

Data Science Enthusiast

Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated experience with various classification algorithms (Logistic Regression, Decision Tree, Random Forest).
Experience in regression modeling for price prediction (Car price, House price).
Familiarity with natural language processing (NLP) for sentiment analysis and spam detection.
Practical application of machine learning techniques on real-world datasets (bank marketing, credit card fraud, telecom churn).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on personal data science applications, indicating a strong interest in the field. However, the lack of team-based projects or diverse industry applications limits the assessment of cultural fit and collaboration potential. The experience level is 0, suggesting a junior profile for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

web-scrapping

May 9, 2021 – November 20, 2023

web-scrapping — GitHub repository

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Car_price_prediction

January 11, 2021 – January 11, 2021

We are intended to frame a regression model that can give us regressed value of Car price.

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bank_full_modelling

November 3, 2020 – December 16, 2020

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be 'yes' or 'no' subscribed.

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advancehouseprice

September 13, 2020 – September 13, 2020

Developed house price prediction model in R

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creditcardfrauddetection

September 13, 2020 – September 13, 2020

creditcardfrauddetection — GitHub repository

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Sentiment-analysis-and-topic-modeling-on-flipkart-reviews

June 16, 2020 – February 28, 2024

Done Sentiment Analysis and Topic modeling on the flipkart reviews

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Classification-Algorithms-

May 20, 2020 – May 20, 2020

Applied different Classification Algorithms (Logistic Regression , Decision Tree, Random Forest) on this imbalanced Bank Data.

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Smsspamcollection-NLP-

April 10, 2020 – April 10, 2020

I have created a NLP model on Smsspamcollection Data.

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telecomchurn

March 13, 2020 – January 11, 2021

Developed logistic model on Telecom churn data

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decisiontree

March 11, 2020 – March 11, 2020

Used decision tree algorithm on Diabetic data set

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Key Strengths

Demonstrated experience with various classification algorithms (Logistic Regression, Decision Tree, Random Forest).
Experience in regression modeling for price prediction (Car price, House price).
Familiarity with natural language processing (NLP) for sentiment analysis and spam detection.
Practical application of machine learning techniques on real-world datasets (bank marketing, credit card fraud, telecom churn).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Priyanshi Shukla

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit