Deeksha Sharma

Deeksha Sharma

Data Analyst
India
English, Hindi
Internship Hybrid

About Me

Detail-oriented Data Analyst with hands-on experience using SQL, Python, and Excel to analyze large-scale sensor and business datasets. Skilled in data cleaning, data validation, statistical and time-series analysis, KPI…

Experience

Data Analyst Internship

Robotoai Technologies · Coimbatore , Tamil Nadu , India
Jan 2025 - Nov 2025 · 10 months

<p>Analyzed 100K+ remote sensor telemetry records from robotic and industrial systems using SQL, Python, and Excel to monitor machine performance and operational reliability.</p><p> Queried and processed data from 5+ relational database tables using SQL/MySQL, applying joins, filtering, and aggregation to build sensor-performance metrics.</p><p> Performed data cleaning and data validation with Python (Pandas, NumPy), identifying and resolving 3–5% incomplete, duplicate, or inconsistent records prior to analysis.</p><p> Tracked and analyzed error rates across 25+ sensors/devices to flag high-error components and abnormal operational patterns.</p><p> Conducted data-pipeline and connectivity analysis, monitoring transmission success rates and identifying ~2–4% data-delivery gaps for technical investigation.</p><p> Delivered benchmarking across 5+ KPIs, comparing sensor performance against thresholds and historical baselines.</p><p> Ran time-series analysis on 6+ months of sensor data to detect recurring errors, performance degradation, and trends.</p><p> Built dashboards and visual reports using Pandas, Matplotlib/Seaborn, and Excel across 20+ performance metrics for reliability and pipeline health.</p><p> Automated recurring data preparation and KPI reporting with SQL/Python, cutting manual reporting effort by 20–25%.</p><p> Presented 10+ data-driven insights on sensor errors, connectivity, and quality deviations to guide operational decisions.</p>

PROJECTS

Amazon Sales Data Analysis

Ineuron Intelligence (Offsite) · https://github.com/deek007/project_ineuron
Duration : 11-Apr-2024 - 23-Jun-2024

<p>Zomato, a popular food delivery platform, has collected data on customer orders across various restaurants. The dataset includes information about users, restaurants, menu, order details, food items, and delivery partners. The objective is to analyze this data to gain insights into the ordering patterns, revenue generation, and popularity of different food types across different restaurants. Specifically, we aim to visualize these insights through different charts to help Zomato better understand customer preferences and optimize their offerings accordingly. The technology I used here is SQL, Python and its libraries like pandas, matplotlib, seaborn, etc and Excel.</p>

Skills

SQL Python Bash MySQL PostgreSQL Tableau Excel Pivot Tables Dashboards Matplotlib Seaborn PowerPoint Pandas NumPy Data Cleaning Data Validation Data Wrangling KPI Analysis Time-Series Analysis Benchmarking Report Automation Data Pipelines Data Modeling Business Process Modeling Root-Cause Analysis Git Stakeholder Reporting Project Management
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