Apurve Dave

Software Engineer

Hyderabad, Telangana, India6 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building data pipelines and business intelligence systems.
Achieved high accuracy in sales forecasting using advanced models.
Proficient in multiple programming languages and data technologies.

Stackforce AI infers this person is a Data Engineer with expertise in SaaS and Business Intelligence.

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Skills

Core Skills

Data EngineeringBusiness IntelligenceData ScienceArtificial Intelligence

Other Skills

AlgorithmsAmazon S3Amazon Web Services (AWS)Apache AirflowApache KafkaApache SparkArtificial Intelligence (AI)CC++Data ProcessingData StructuresGitK Means ClusteringKNNKafka

About

I work at Apple, India as a Software Engineer I'm experienced in designing, implementing and testing complex applications using various programming languages and technologies. I’ve also worked on building data pipelines. Programming Languages - Python, C, C++, SQL, Java, Scala Database/Cloud: Teradata, SnowFlake, MySQL, Amazon Web Services Technologies: Apache Kafka, Apache AirFlow Software/Frameworks: Git, Docker, Kubernetes, Apache Spark, Jupyter Notebook, IntelliJ, MATLAB Libraries: pandas, NumPy, Matplotlib, scikit-learn Reporting tools: ThoughtSpot, Incorta, Tableau Outside of tech, I love playing sports and have represented my school team and college team at various football tournaments.

Experience

6 yrs 10 mos

Total Experience

6 yrs 10 mos

Average Tenure

6 yrs 10 mos

Current Experience

Apple

2 roles

Software Engineer II (Data)

Mar 2022 – Present · 4 yrs 3 mos · Hyderabad, Telangana, India

Part of Business Intelligence team responsible for handling, transforming and processing large volumes of data

PythonTeradataData ProcessingBusiness IntelligenceData Engineering

Software Engineer

Jul 2019 – Feb 2022 · 2 yrs 7 mos · Hyderabad, Telangana, India

Building a robust Business Metrics Monitoring and Alerting System using Python and Teradata to detect revenue impacting issues in Sales
Worked on building E2E data pipelines for business use cases involving data ingestion, data processing and capacity planning aspects from sources like Kafka, Amazon S3, Snowflake. Enforced audits to keep check on pipelines and processed data
Developed a CLI tool for automating the process of creating objects like DDLs, control files, etc. required for construction of data pipeline. Utilised Python to recommend datatypes for fields taking a sample input file from user. Brought down the average time taken to create objects from 3 hours to approx. 15 minutes
Created business dashboards on Sales data in ThoughtSpot and Tableau for hourly visualisation, monitoring and alerting
Predicted the baseline sales of products for next quarter at the granularity of LOB and territory, based on actual figures and other metrics of previous quarters. Implemented and compared time-series forecasting models namely AutoArima, SARIMA and LSTM. Achieved accuracy of 81%, 85%, 77% respectively

PythonTeradataKafkaAmazon S3SnowflakeThoughtSpot+4

Tcs innovation labs

Artificial Intelligence Intern

May 2017 – Jul 2017 · 2 mos · Kolkata, West Bengal, India

Implemented Reinforcement learning based Q-Learning to find the optimal path in a given environment
Analysed Recurrent Neural Network to achieve 88% accuracy for future prediction of path in a semantically similar environment
Used Python libraries namely, NumPy, Pandas and Matplotlib to implement these models

Reinforcement LearningQ-LearningPythonNumPyPandasMatplotlib+1

Indian institute of technology, roorkee

Research Intern

May 2016 – Jul 2016 · 2 mos · Roorkee, Uttarakhand, India

Researched about KNN and K Means Clustering algorithms and implemented them using MATLAB
Analysed efficiency of hardware implementation from simulation results

KNNK Means ClusteringMATLABData Science