Daksh Parekh

Data Analyst

Brooklyn, New York, United States1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Proven ability to optimize data pipelines and improve business metrics.
Hands-on experience with machine learning in forecasting and NLP.
Developed executive dashboards for data-driven decision making.

Stackforce AI infers this person is a Data Analyst with expertise in Cloud Computing and Machine Learning across Finance and Healthcare sectors.

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Skills

Core Skills

Data EngineeringCloud ComputingMachine LearningData AnalyticsData AnalysisData VisualizationMarketing AnalyticsData ScienceMedical Imaging

Other Skills

A/B TestingAWSAirflowAmazon Web Services (AWS)Analytical SkillsAnomaly DetectionArtificial Intelligence (AI)AutomationBig DataBusiness Intelligence (BI)Convolutional Neural Networks (CNN)Data ModelingData PreprocessingDatabasesDeep Learning

About

Data analyst with 2 years of experience building analytics solutions across finance, supply chain, and marketing domains. Proven ability to optimize data pipelines, improve business metrics, and deliver executive dashboards. Strong foundation in Python, SQL, and AWS with hands-on ML experience through forecasting, NLP, and clustering projects. Seeking data analyst or entry-level data scientist roles to apply analytical and machine learning skills

Experience

1 yr

Total Experience

1 yr

Average Tenure

Current Experience

Authentic brands group

Data Analyst Intern

Jun 2025 – Aug 2025 · 2 mos · New York City Metropolitan Area · On-site

Accenture

Data Analyst

Jun 2023 – Jun 2024 · 1 yr · India · On-site

● Supported cloud migration of Hershey's procurement data from SAP to AWS (S3, Redshift, Lambda), contributing to data infrastructure serving across 3 global regions
● Optimized ETL workflows processing 12M+ procurement records using SQL (CTEs), improving data consistency and reducing refresh time by 25% (6 hrs to 4.5 hrs)
● Developed Python anomaly detection scripts using Z-score analysis to flag irregular stock movements, identifying 250+ records for procurement team to review via QuickSight dashboards
● Automated monthly procurement reporting for 12 categories, eliminating manual Excel work for analysts

Amazon Web Services (AWS)SQLPythonETLQuickSightData Engineering+1

Findingpi

Data Analyst Intern

Jan 2023 – Jun 2023 · 5 mos · India · On-site

● Used Python to analyze a 5-year fan engagement dataset (ticketing, attendance, merchandise) for University of South Carolina football team, identifying churn patterns and retention opportunities
● Helped design A/B tests for ticket pricing and promotional campaigns, supporting strategies improving fan retention by 15%
● Built a K-Prototypes fan segmentation model (45K fans, 6 personas) and a Tableau dashboard (CLV, churn rate, and campaign ROI), boosting merchandise sales by 10%

PythonTableauA/B TestingData AnalysisData Visualization

Ramdeobaba university (rbu) nagpur

Machine Learning Research Intern

Jun 2021 – Jul 2021 · 1 mo · Nagpur, Maharashtra, India · On-site

Developed TB-Net, a deep learning model for tuberculosis detection using PyTorch, achieving 88% precision on a dataset of 10,000+ chest X-ray images
Engineered advanced data preprocessing pipeline utilizing PyTorch DataLoader and image augmentation techniques to enhance model generalizability
Optimized model performance through framework migration from TensorFlow to PyTorch, improving computational efficiency and training speed
Implemented GPU-accelerated training, demonstrating proficiency in machine learning techniques and medical image analysis

PyTorchDeep LearningData PreprocessingMachine LearningMedical Imaging