Mohd Hashim

Data Scientist

South Delhi, Delhi, India7 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing optimized data solutions using PySpark.
Proven ability to deliver actionable insights for decision-making.
Strong background in data engineering and analytics.

Stackforce AI infers this person is a Data Scientist with expertise in SaaS analytics and data engineering.

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Skills

Core Skills

Data EngineeringAnalytics

Other Skills

PySparkPower BIPerformance TuningData ManagementCommunicationStrategic Project ManagementOptimizationWorkload PrioritizationApache SparkKnowledge SharingGoogle AnalyticsBusiness Intelligence ToolsNatural Language Processing (NLP)Data ModelingHadoop

About

Adobe harnessed my expertise in PySpark and Power BI to develop optimized data solutions that empower stakeholders with actionable insights. By engineering end-to-end PySpark pipelines, I streamlined data lake operations, refined multiple tables into cohesive datasets, and implemented performance tuning strategies like partitioning and caching to boost efficiency. These efforts culminated in a robust data table that addresses key product-related queries. With a BTech in Electrical and Electronics Engineering from NIET Greater Noida and certifications in Data Science and Analysis, I merge technical proficiency with a strategic mindset. My contributions to Adobe include delivering weekly insights, enabling informed decision-making. I am motivated by solving complex data challenges and committed to driving meaningful business outcomes through advanced analytics.

Experience

7 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

3 yrs 7 mos

Current Experience

Adobe

Data Scientist

Nov 2022 – Present · 3 yrs 7 mos · Noida, Uttar Pradesh, India · Hybrid

Payroll : Infogain
Client : Adobe
Developed optimized PySpark solutions, driving key business KPIs for stakeholders on PowerBI.
Developed end-to-end PySpark code for our data lake, meticulously cleaning and refining multiple tables to create a comprehensive table. Implemented performance tuning strategies, including partitioning, caching, and optimized joins, resulting in a streamlined process for extracting insights. My work led to a data table that efficiently addresses various product-related inquiries, showcasing the power of PySpark in unlocking actionable business insights.
Provided Weekly basis insights to the stakeholders for them to take actions based upon the insights.

PySparkPower BIData EngineeringPerformance TuningData ManagementAnalytics