Sristi Bhadani

AI Researcher

Regensburg, Bavaria, Germany8 yrs 9 mos experience
Highly Stable

Key Highlights

  • 7+ years of award-winning experience in data science.
  • Proven track record in machine learning and deep learning projects.
  • Recognized for exceptional performance and leadership in teams.
Stackforce AI infers this person is a Data Scientist with expertise in E-commerce and Retail analytics.

Contact

Skills

Core Skills

Applied Machine LearningDeep LearningNatural Language Processing (nlp)Machine LearningData ScienceForecastingPredictive ModelingSoftware EngineeringIncident Management

Other Skills

Analytical SkillsAngularJSAutomationAutonomous RobotAzkabanBasic HTMLBig Data AnalyticsC++Cloud ComputingCode ReviewCommunicationComputer ScienceComputer VisionConvolutional Neural Networks (CNN)Data Analysis

About

Hello. I am Sristi Bhadani - a passionate data scientist with 7+years of award winning exceptional work experience specializing in in Machine Learning, Deep Learning, Neural Networks, Data Analysis & Data Visualization across e-commerce, retail, manufacturing, telecom and automotive and looking for opportunities to further enhance my knowledge and contribute towards the growth of ever evolving and dynamic fields of Computer Science. Throughout my work experience, with conglomerates and multinational organizations I delivered innovative solutions which helped clients augment business growth, streamline processes and optimize productivity and was duly recognized across the hierarchy :- - Awarded - “Employee of the Month” at DXC Technology - Received Spot Awards across all organisations for exemplary performance - Recognised with “You are a Gem” Awards at AIE Enterprise I have led teams to meet quality goals within stipulated time period, created a work environment to maximize efficiency, established platforms and automated processes enabling accurate decision making and eliminated scope of manual errors while demonstrating effective communication, commendable negotiation skills, exceptional team building capabilities and relationship management skills. I have been a disciplined and goal oriented professional, approaching projects with futuristic methodologies, focusing on research & analysis, critical design thinking and constantly contributing towards improving the capabilities of Artificial Intelligence and Machine Learning. My Core Skills include :- - Machine Learning Random Forest, Clustering, Support Vector Machines, Logistic and Linear Regression, LightGBM - Deep Learning Named Entity Recognition, Transformers Neural Networks, Convolutional Neural Network, Recurrent Neural - Network and Long Short-Term Memory Networks, Natural Language Processing, Computer Vision Python - NumPy, Pandas, Scikit-learn, TensorFlow, Keras, NLTK, Seaborn, Matplotib, Pyspark, pymc3 Other Technologies - Docker, Kubeflow, Airflow, GIT, Agile Methodology, MATLAB, R, VBA, Azkban, Kubermatic Database - SQL, Spark, Excel, MongoDB, Google Cloud – Data Proc, Big Query & Composer I look forward to connect with like-minded professionals and expand the learning network.

Experience

8 yrs 9 mos
Total Experience
1 yr 7 mos
Average Tenure
8 mos
Current Experience

Herding filtertechnik

Master Thesis

Oct 2025Present · 8 mos · Germany · Hybrid

Oth amberg-weiden

Student Assistant

Nov 2024Dec 2025 · 1 yr 1 mo · Germany · Hybrid

Project ManagementApplied Machine LearningDeep LearningComputer VisionOral CommunicationCommunication

Career break

Full-time parenting

Apr 2023Feb 2024 · 10 mos · Regensburg, Bavaria

Inviz ai

Senior Data Scientist

Mar 2020Mar 2023 · 3 yrs · Bangalore Urban district, Karnataka, India

  • I. Project: Search Ranking & Personalization | Client: Croma by TATA
  • Achievements :-
  • Led the team in building search ranking and personalization features.
  • Increased conversion rate by 12% by developing a robust search solution.
  • Core Responsibilities
  • Regulated Query processing module including Spellcheck, Classifier and Dynamic facets.
  • Conducted intensive research and analysis along with trials on the algorithms to attain the best results.
  • Designed detailed roadmaps & prioritized features and timelines to drive top line and associated metrics.
  • Collaborated with Stakeholders for Timely Delivery
  • II. Project: Cyber Threat Analysis | Client: Aitomatic
  • Achievements :-
  • Delivered Cyberthreat Intelligence solution demonstrating classification hierarchy of Cyber Threat topics.
  • Automated analyzing processes of news articles & magazines and safeguarded from cyber threat attacks.
  • Core Responsibilities :-
  • Applied NLP techniques and developed a version of classification taxonomy to classify content.
  • Championed the team in developing Data Collection, Database Design, Model Development and Inference.
  • Classifying further into domain, hat and other major threat categories.
  • III. Project: Recommendation System | Client: Falabella
  • Built a comprehensive recommendation system solution across product categories and different regions.
  • Enabled intelligent browsing experience which increased sales and reduced bounce rate.
  • Core Responsibilities
  • Devised recommended products widget, items viewed & bought together on the search landing page.
  • IV. Project: Search Ranking & Customization | Client: Ultratech
  • Achievements :-
  • Enforced a solution for catalogue search and product discovery that included object detection (SSD), product attribute prediction (custom CNN Architecture) and localization with high precision (80% +).
  • Implemented Search and partial search features on ranking model.
EnglishNumPyTrainingPresentation SkillsTeam LeadershipDeep Neural Networks (DNN)+20

Aienterprise inc

Data Scientist

Feb 2019Mar 2020 · 1 yr 1 mo · Bengaluru, Karnataka, India

  • Project: Customer Traffic, Manpower Planning, Data Ingestor Pipeline, Feature Engineering | Client – Kohl’s
  • Achievements :-
  • Built a forecasting model to estimate store traffic per day in a given month, several months in advance.
  • Reduced labor cost for the store as the analysis enabled effective manpower planning across stores.
  • Enhanced customer satisfaction as required resources were available and increased sales.
  • Optimized data preprocessing task & program efficiency reducing execution time from 3 hours to 25 minutes.
  • Core Responsibilities :-
  • Created data ingestor pipeline to import data from CSV files and format for data scientists using PySpark.
  • Devised Scripts for report generation and input file validation against a predefined format.
  • Scheduled Data Validation, ETL processing, Model Training and Model Validation using Azkaban
EnglishNumPyFeature EngineeringData ProcessingTrainingPresentation Skills+21

Lowe's india

Software Engineer

Dec 2017Jan 2019 · 1 yr 1 mo · Bengaluru Area, India

  • Project: Customer Churn Rate and Sales Prediction
  • Achievements :-
  • Built a Classification Model (POC) to predict customer churn rate & devise retention strategies.
  • Led Outlier Detection Model via isolation forest for Sales Count distribution generating better predictions.
  • Core Responsibilities :-
  • Classification Model was built to understand which customers are likely to churn (leave or unsubscribe from the service). This prediction was utilized for strengthening business growth performance and launching special offers to enhance customer engagement.
  • Outlier detection Model was built using Isolation Forest for sales count distribution. This in turn helped us to tweak our sales predictive model to incorporate novelties which in turn helped to generate better predictions.
EnglishNumPyPresentation SkillsCommunicationAnalytical SkillsOral Communication+9

Dxc technology

Assosciate Software Engineer

Oct 2015Nov 2017 · 2 yrs 1 mo · Bangalore

  • Project: Operational Proactive Monitoring & Troubleshooting and Incident Management | Client – AT&T
  • Achievements :-
  • Led projects from conceptualization to visualization, technology mapping & final execution.
  • Automated report generation and reduced the manual time of 1 hour to 5 mins using Python.
  • Allocated resources, delegated tasks to the project team and regularly monitored performance.
  • Established quality procedures and delivered high quality solutions to the clients within desired timelines.
  • Core Responsibilities :-
  • Understanding Client's Requirements and Create Project Scope of Work
  • Analyzing, Designing, Testing and Implementing Interfaces and Databases
  • Resolving escalations and mitigating issues
  • Providing Release Support through Design Review, Load Testing and Command Center Support
  • Collaborating & Coordinating with SD&E Clients, Management Team and Support Staff
EnglishPython (Programming Language)CommunicationDatabase AdministrationOral CommunicationComputer Science+5

Education

OTH Amberg-Weiden

Masters in Artificial Intelligence for Industrial Application — Artificial Intelligence

Mar 2024Mar 2026

Acharya institute of technology

Bachelor of Engineering (BEng) — Computer Science

Jan 2011Jan 2015

BNS DAV Giridih

12th

Jan 2009Jan 2011

Carmel School, Giridih

10th

Jan 2009Present

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