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Abhishek Tiwari

Abhishek Tiwari

Ai Trainer

Technology / Internet

Delhi, Delhi

Social


Services offered

An AI trainer, training a bot that predicts 3d models using visual 2d data. With a background in mechanical engineering and groundwater management, I predicted missing metrological data in my master's thesis, using data science. Later, I took formal training in Machine learning, Deep learning, Data analysis, Web Development, and Cloud Infrastructure. Driven to apply and enhance data-driven problem-solving skills, focusing on tackling challenges in impactful projects.

Approximate rate: ₹ 600 per hour

Experience

  1. Data Annotator/ AI trainer October 2024- Present
    Innodata India Pvt. Ltd. Noida, India.
    Training an AI model to predict a 3d model of object.
    Prompt Engineering: Training AI on feasible experts and amateur prompts.
    Computer Vision: Training and annotating visual 2d data for an AI model to predict a “3d model”.
  2. Foundry Production Employee (quality, Gravity Casting) January 2023 – January 2024
    Bharat Forge Aluminiumtechnik Gmbh., Brand-Erbisdorf, Germany.
    Performed quality control of the aluminum casting (NDT analysis of alloying elements - visually and with EPOCH 650 defect detector) to detect porosity and holes.
    Performed Spectrochemical analysis of aluminum samples for precise quantification of the element composition.
  3. Global Water Separation Systems Pvt Ltd, New Delhi, India.
    Planned and installed industrial water separation systems.
    Acquired, managed, and analyzed data using Python and Excel to provide insight into projects.
    Developed positive working relationships with stakeholders to coordinate work activities effectively

Education

Diploma in Data Science May 2024
DataScientest, Puteaux, France.
Machine Learning Models: Gained expertise in regression, classification, and clustering using algorithms like XGBoost, Logistic Regression, Random Forest, and K-Means.
Deep Learning Fundamentals: Developed skills in neural networks, convolutional networks, and transfer learning using Keras and TensorFlow.
Data Engineering: Proficient in SQL, API integration, and distributed data processing with PySpark.
MLOps: Hands-on experience with Docker, Streamlit, and deploying machine learning models in cloud environments (AWS).
Time Series and Anomaly Detection: Worked on advanced time series forecasting (ARIMA/ ARMA) and anomaly detection methods (KNN, LOF).
Data Analysis: Professionally trained in Python, Tableau, Power BI, Matplotlib, Seaborn, Pandas, and Numpy.


Master of Science, Groundwater Management (Geoinformatics) June 2023
Technische Universität Bergakademie, Freiberg, Saxony, Germany.
Master's Thesis: Hydrochemistry of Lake Zwenkau in Leipzig and its future aspects. Analysis of the meteorological data of the district of Leipzig and chemical analysis of Lake Zwenkau. Created Climate Change Impact Assessment model of Zwenkau Lake by integrating meteorological data into ArcGIS.
Modules in Modeling: Geoscientific Communication (ArcGIS automation using Python), Hydrogeological Flow, and Transport Modeling of Water (FeFLow).
Modules in Management: Project Management, Resource Management, Corporate Sustainability & Risk Management, Human Resources & Organization Management.
Modules in Environmental Sciences: Environmental Management & Policies and Hydrogeology.

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