Mohammad Farid

AI Researcher

New Delhi, Delhi, India6 yrs 6 mos experience

Key Highlights

Expert in Data Science and Machine Learning.
Proficient in Python and data analysis tools.
Strong background in technical recruiting and client management.

Stackforce AI infers this person is a Data Science and Analytics professional with expertise in AI and technical recruiting.

Contact

faridorionpcm@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine LearningData AnalyticsData ManagementBusiness Analytics

Other Skills

AccountingAdvance ExcelAlgorithmsAnalytical SkillsAnalyticsAnnotation ToolsAutoCADClient CommunicationCluster AnalysisCollaborationCommunicationData AnalysisData CleaningData IntegrationData Labeling

Experience

6 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 8 mos

Current Experience

Innodata inc.

Senior Associate -AI/LLM

Oct 2024 – Present · 1 yr 8 mos · Noida, Uttar Pradesh, India · Remote

Data Labeling & Annotation: Annotate large volumes of data (text, image, audio, video) by tagging, labeling, transcribing, or categorizing according to project guidelines.
Quality Assurance: Review and validate annotated data to ensure accuracy, consistency, and adherence to annotation standards.
Collaboration with Data Science Teams: Work closely with data scientists, AI/ML engineers, and project managers to understand annotation requirements and provide feedback for model improvements.
Maintaining Annotation Tools & Guidelines: Use annotation tools effectively and follow annotation guidelines, updating them when necessary.
Quality Control & Feedback: Perform self-audit and peer reviews of annotated datasets, identify errors, and suggest improvements to annotation processes.
Domain Understanding: Develop subject matter knowledge of the dataset (e.g., medical, retail, e-commerce, NLP, computer vision, etc.) to improve annotation accuracy.
Meeting Productivity Targets: Ensure timely delivery of annotated data by meeting daily/weekly targets without compromising quality.
Training & Mentorship: Assist in training new annotators, sharing best practices, and ensuring team alignment with project goals.
Continuous Improvement: Provide feedback to improve annotation processes, tools, and workflows for higher efficiency.
Confidentiality & Data Security: Handle sensitive data with integrity and maintain strict compliance with data privacy and security guidelines.

Data LabelingQuality AssuranceCollaborationAnnotation ToolsData SecurityData Science+1

Ineuron.ai

Full Stack Data Science Masters

May 2023 – Oct 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

Data Cleaning: Handling missing values and correcting errors using Python libraries like Pandas.
Data Transformation: Normalizing, standardizing, and encoding categorical variables with Python.
Feature Engineering: Creating new features using Python for enhanced model performance.
Exploratory Data Analysis (EDA): Visualizing data distributions and identifying patterns using libraries like Matplotlib and Seaborn.
Statistical Analysis: Conducting hypothesis testing and A/B testing with Python.
Data Visualization: Creating clear and informative visual representations using Matplotlib and Seaborn.
Data Wrangling: Merging, reshaping, and aggregating datasets for analysis with Pandas.
Scripting and Automation: Writing Python scripts to automate repetitive data tasks.
Database Management: Querying and managing data using SQL for data retrieval and manipulation.
Data Integration: Combining data from multiple sources using SQL and Python.
Reporting and Communication: Presenting findings and insights using Python for data analysis and SQL for data summaries.

Data CleaningData TransformationFeature EngineeringExploratory Data AnalysisStatistical AnalysisData Visualization+4

Enterprise solutions inc.

Technical Recruiter

Jan 2022 – Oct 2023 · 1 yr 9 mos · Noida, Uttar Pradesh, India · On-site

Fractal steel products

Management Information System Executive

Sep 2019 – Oct 2021 · 2 yrs 1 mo · Faridabad, Haryana, India · On-site

Established MIS infrastructure, comprising daily, weekly, and monthly sales reports, alongside real-time dashboards for tracking critical metrics.
Analyzed sales data by product, region, quality, and material type, and generated Excel reports
Managed daily meetings and fulfilled client needs, while overseeing asset management for new clients regularly.
Managed inbound sales calls, effectively communicating product details to clients.
Assisted clients in optimizing space utilization by creating AutoCAD layouts.

MIS InfrastructureSales Data AnalysisClient CommunicationAutoCADData ManagementBusiness Analytics