Smita Singh

Data Scientist

Darmstadt, Hesse, Germany5 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Data Science and Machine Learning.
Proficient in developing LLM-powered applications.
Strong background in reinforcement learning techniques.

Stackforce AI infers this person is a Data Scientist with expertise in AI-driven solutions for Fintech and SaaS industries.

Contact

Skills

Core Skills

Data ScienceLarge Language Models (llm)Reinforcement LearningPythonDeep LearningData AnalysisAngularjsSoftware Development

Other Skills

GitGPT-3PyTorchSQLGraphAPIFeature EngineeringRetrieval-Augmented Generation (RAG)PGVectorChromaDbAIFMLflowApache AirflowAirflowStreamlitOpenAI Gym

About

Passionate about data science and machine learning.

Experience

5 yrs 11 mos

Total Experience

1 yr 5 mos

Average Tenure

3 yrs 9 mos

Current Experience

Diamant software gmbh

Data Scientist

Sep 2022 – Present · 3 yrs 9 mos · Darmstadt, Hesse, Germany · Hybrid

End-to-End Development of Documentation QA Bot: Built a question-answering bot using the RAG mechanism, enabling efficient and accurate document-based query resolution.
Accounting Task Automation with LLMs: Developed models to address accounting challenges, such as identifying the correct accounting table for bank statement items.
Data Analysis: Analysed and interpreted accounting data to derive insights and support model development.
Accounting Chatbot Development: Worked on LLM-powered chatbot tailored for accounting use cases, improving accessibility and efficiency in financial data management.
Proof of Concept (POC) for Memory Component: Prototyped a memory module for the chatbot, inspired by the MemGPT architecture, to explore possibilities for enhancing conversational context retention and user experience.

GitGPT-3PyTorchData ScienceSQLReinforcement Learning+12

Systema

Intern

Jan 2022 – Aug 2022 · 7 mos · Dresden, Saxony, Germany

Throughput Optimization: Applied reinforcement learning techniques to optimize the semiconductor manufacturing process, improving production efficiency and throughput.
Model Development: Utilized Python, TensorFlow, and Rllib to design and train models within the OpenAI Gym environment for simulation and optimization.
Tech Stack: Python, TensorFlow, Rllib, OpenAI Gym

GitOpenAI GymTensorFlowReinforcement LearningNumPyPython (Programming Language)+4

Fraunhofer-gesellschaft

Werkstudent

Sep 2021 – Dec 2021 · 3 mos · Stuttgart, Baden-Württemberg, Germany · Remote

Time-Series Data Processing: Analyzed and processed time-series data containing battery performance and lifecycle information.
LSTM Model Development: Designed and implemented a Long Short-Term Memory (LSTM) model to predict battery lifespan with improved accuracy.

GitData AnalysisDockerLong Short-term Memory (LSTM)TensorFlowFeature Engineering+3

Commsolid

Werkstudent

Jun 2020 – Apr 2021 · 10 mos · Dresden, Saxony, Germany

Command Auto-Completion: Built a Linux command auto-completion feature using a “tab-tab” shortcut for faster bot data submission.
Device Management CLI: Developed a tool to fetch device status, identifying locked and free devices.
Optimization: Enhanced auto-completion efficiency and reduced response time.
Structured Output: Improved the readability and organization of auto-completion results.

GitBashPython (Programming Language)JavaScript

Samsung electronics

Software Engineer

Jul 2018 – Sep 2019 · 1 yr 2 mos · Delhi, India

Contributed to the SmartThings ecosystem by enhancing the Smart AC hybrid application
Developed a hybrid mobile app for Smart AC, enabling seamless control of AC settings and improving user accessibility across platforms.
Upgraded legacy code by migrating the Smart AC app to the latest Angular JS version, enhancing performance and maintainability.
Supported testing initiatives, ensuring robust functionality and reliability for production deployment.
Technologies Used: Angular JS, HTML, CSS, C++, SQL

GitCascading Style Sheets (CSS)C++HTMLPython (Programming Language)AngularJS+2

Freshworks

Intern

Jan 2018 – Jun 2018 · 5 mos · Chennai · On-site

Freshsales - A CRM software
Integrated third-party apps (e.g., Xero) via OAuth, enabling sales teams to access customer invoice data for improved relationship management and lead generation.
Designed and implemented pagination, optimizing invoice visibility for sales reps to navigate large datasets efficiently.
Developed filtering capabilities, allowing users to sort invoices by status (paid, unpaid, open, closed) and link/unlink records, boosting operational flexibility.
Tools and technologies used: Ruby, Rails, MySQL

GitSQLEmberCascading Style Sheets (CSS)HTMLRuby on Rails