Avesh Ali

AI Researcher

Roorkee, Uttarakhand, India11 yrs experience

Highly StableAI Enabled

Key Highlights

10 years of experience in AI and Machine Learning.
Expert in developing data-driven solutions.
Strong foundation in algorithms and model optimization.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on machine learning and data-driven solutions.

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Skills

Core Skills

Machine LearningArtificial IntelligenceData Analysis

Other Skills

AIAI algorithmsAI models developmentAI/ML/NLP model developmentAWSAlgorithmsAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksAzureBaggingBig DataBoostingBusiness Analytics

About

AI Developer with 10 Years hands-on experience in designing, building, and deploying machine learning and deep learning models. Skilled Data Analysis, Data Stats, and Data driven solutions to solve real-world problems. Passionate about developing intelligent systems that drive business insights and automation. Strong foundation in algorithms, data structures, and model optimization. Skill Set: Machine Learning, Artificial Intelligence, Data-driven solution, Python, MySQL, PowerBI, Data Visualization, MS Excel, Pandas, NumPy, Seaborn, Matplotlib, Sklearn, Linear Regression, Logistic Regression, Ridge & Lasso Regression, Support Vector machine, Decision Tree, Random Forest, Bagging, Boosting, KNN, Naïve Bayes Algorithm, OpenCV, ANN, RNN, CNN, OpenCV, Tesseract, TensorFlow, Keras, AWS, Hadoop, Statistics Jupyter Notebook, VS Code, Google Colab, Data Normalization, Data Augmentation, Standardization, LLM, GenAI,

Experience

11 yrs

Total Experience

4 yrs 9 mos

Average Tenure

1 yr 5 mos

Current Experience

Deloitte

Assistant Manager

Jan 2025 – Present · 1 yr 5 mos · Delhi, India · On-site

Data Collection, Data cleaning, Data visualization, EDA, Data Interpretation.
Data Analytics to effectively disseminate data.
Developing AI models from initial conception to implementation.
Understanding business problems and translating them into AI solutions.
Creating and maintaining AI algorithms and applications.
Collaborating with the data science team to build optimal data systems.
Integrating AI applications into company platforms.
Validating and deploying AI models.
Keeping up-to-date with the latest AI trends and technologies.
Presenting technical findings to non-technical stakeholders.
Ensuring AI applications follow regulatory and ethical standards.
Providing technical support for AI products.
Continuously improving and scaling AI systems.
Programming Languages: Python, C++
Frameworks & Libraries: PyTorch, TensorFlow,Sklearn, Keras, XGBoost, Random Forest, Logistic Regression, Linear Regression, Ridge & Lasso Regression, K-Nearest neighbor (KNN), Support Vector Machine, Naive Bayes Algorithm, Decision Tree, Bagging, Boosting,Ensembles Algorithms, GenAI & LLMs, OpenAI API, LLaMA, DeepSeek, Pandas, NumPy, Matplotlib, Seaborn, SciPy, etc.
Neural Network: ANN, RNN, CNN, OpenCV, Tesseract,OCR
IDE: Jupyter Notebook, Google Colab, VS Code etc.
Natural Language Processing (NLP)
Cloud: AWS, Azzure.
Big Data, hadoop
Statistics
Data Analysis & Visualization: PoweBI, , MS Excel, PowerPoint, Tableau
Database: MySQL, Posgre SQL

Data CollectionData cleaningData visualizationEDAData InterpretationAI models development+44

Kingfa science and technology (india) ltd

Engineer

Jul 2024 – Dec 2024 · 5 mos · Guangzhou, Guangdong, China and India · On-site

Development of IoT Device to generate data.
Data Collection, Data cleaning, Data enriching etc.
Finding data pattern, insights, and data driven solution
AI/ML/NLP based model development
Model evaluation & hyperparameter tuning
Model deployment & monitoring
Interact with client & customize the solution.

IoT Device developmentData CollectionData cleaningData enrichingData pattern analysisAI/ML/NLP model development+6

The leading solutions

Intern

May 2023 – Jul 2023 · 2 mos · Delhi, India · Hybrid

Marketing, Finance, Taxation, Financial sector, BFSI
Data Collection.
Data cleaning, and standardization.
Data Analysis.
Data Driven Solutions.
Machine Learning Model development & deployment.

Data CollectionData cleaningData AnalysisMachine Learning Model developmentDeploymentMachine Learning

Sandhar automotive haridwar

Assistant Manager

Jun 2013 – Aug 2022 · 9 yrs 2 mos · India · On-site

Role: Data Analysis, ML/AI Developer & QA
Data Collection, Data cleaning, Data visualization, EDA, Data Interpretation.
Data Analytics to effectively disseminate data.
Developing AI models from initial conception to implementation.
Understanding business problems and translating them into AI solutions.
Creating and maintaining AI algorithms and applications.
Collaborating with the data science team to build optimal data systems.
Integrating AI applications into company platforms.
Validating and deploying AI models.
Keeping up-to-date with the latest AI trends and technologies.
Presenting technical findings to non-technical stakeholders.
Ensuring AI applications follow regulatory and ethical standards.
Providing technical support for AI products.
Continuously improving and scaling AI systems.
Programming Languages: Python, C++
Frameworks & Libraries: PyTorch, TensorFlow,Sklearn, Keras, XGBoost, Random Forest, Logistic Regression, Linear Regression, Ridge & Lasso Regression, K-Nearest neighbor (KNN), Support Vector Machine, Naive Bayes Algorithm, Decision Tree, Bagging, Boosting,Ensembles Algorithms, GenAI & LLMs, OpenAI API, LLaMA, DeepSeek, Pandas, NumPy, Matplotlib, Seaborn, SciPy, etc.
Neural Network: ANN, RNN, CNN, OpenCV, Tesseract,OCR
IDE: Jupyter Notebook, Google Colab, VS Code etc.
Natural Language Processing (NLP)
Cloud: AWS, Azzure.
Big Data, hadoop
Statistics
Data Analysis & Visualization: PoweBI, , MS Excel, PowerPoint, Tableau
Database: MySQL, Posgre SQL
SPC study & proactive actions.
MSA studies & improvement in the measurement system.
Warranty management: attend to customers for verification, data analysis, root cause analysis & development of solutions.