Tarun Chauhan

Data Scientist

Noida, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building impactful ML systems.
Proficient in end-to-end machine learning processes.
Hands-on experience with diverse data science projects.

Stackforce AI infers this person is a Data Scientist with expertise in SaaS and Healthcare industries.

Contact

tarunchauhan4272@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningData Science

Other Skills

AIMLArtificial Intelligence (AI)Beautiful SoupBusiness AnalysisCascading Style Sheets (CSS)Convolutional Neural Networks (CNN)DASHData AnalysisData AnalyticsData CleaningData CollectionData Collection AutomationData VisualizationDynamic FilteringEDA

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Dunnhumby

Associate Applied Data Scientist

Oct 2024 – Present · 1 yr 8 mos · Gurugram, Haryana, India · Hybrid

Monotype

Machine Learning Engineer

Apr 2024 – Oct 2024 · 6 mos · Noida · Hybrid

Developed an image captioning system which uses a pre-trained VGG16 model for feature extraction and an
LSTM network to handle the sequential nature of language, achieving a BLEU-1 score of 0.52 and a BLEU-2 score
of 0.31 to measure the relevance and descriptiveness of generated captions.
Enhanced the Font Model by increasing input resolution from 64x64 to 512x512 to capture finer details and
replacing default reference characters with a specific font named HamburgerFONT. Improved model fidelity by 3
percent for more accurate font replication.
Refined font generation accuracy by applying a ”refiner model” on top of outputs from various font generator
models to achieve an overall increase in the accuracy of the final generated fonts.

Image CaptioningVGG16LSTMFont Model EnhancementModel Fidelity ImprovementMachine Learning+1

Redcliffe labs

Data Scientist

Sep 2023 – Feb 2024 · 5 mos

Conducted customer segmentation into distinct groups based on purchasing behaviors using the K-means
clustering algorithm aimed to provide deeper insights into customer behavior, enabling personalized marketing
strategies and targeted customer engagement.
Built a predictive model to forecast future medicine stock levels based on historical data. This model aimed to
improve inventory planning, reduce stockouts, and ensure timely availability of essential medicines.
Created sales performance dashboards featuring bar charts for revenue by category or region, trend lines for
sales growth, leaderboards for top branches, and drill-down analysis for labs and collection centers.

K-means ClusteringPredictive ModelingSales Performance DashboardsData ScienceMachine Learning

Skuad

Data Scientist

Mar 2023 – Aug 2023 · 5 mos · Remote

Scraped job data from platforms like LinkedIn and Indeed using Selenium to build a comprehensive job dataset.
Developed a tool that allows users to filter job listings based on criteria such as remote options, location,
company name, job title, and required skills.
Implemented dynamic filtering to provide personalized job search results, enhancing user experience.
Contributed to automating the data collection and processing pipeline for consistent and updated job listings

Web ScrapingData Collection AutomationDynamic FilteringData ScienceMachine Learning