Business Development Executive

at APPSTEK INFORMATION SERVICES

Business Development Executive

APPSTEK INFORMATION SERVICES

Company

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Business Development Executive

at APPSTEK INFORMATION SERVICES

Posted by Nagendra P

4 - 8 yrs

₹3L - ₹15L / yr

Hyderabad

Skills

Email Marketing

Lead Generation

Roles and Responsibilities:

Initiating conversations with prospects through cold calling, emailing, and other sources.
Have business conversations with potential customers to identify pain areas and challenges that will help in qualifying the opportunity.
Presenting company offerings and taking the prospects through the lead generation cycle to convert them into potential opportunities.
Moving leads through the funnel to set up meetings.
Should be able to handle the initial customer call to identify and qualify the opportunity.
Profiling and qualifying companies based on industries, geography, revenue, employee strength, and vertical.
Extensively knowledgeable in secondary research on companies and decision-makers using different market research tools like LinkedIn, ZoomInfo, etc.
Proficient in the use of CRM to track daily sales activities.
Should have strong research capabilities and a good understanding of the North American market, industries, and IT Services.
Identifying Decision-makers, and influencers in department-wise and collecting required information like email id, contact number, domain, responsibilities, etc.

Skillsets Required:

Strong communication skills – verbal and written for telephonic and email exchanges.
Strong desire and a go-getter attitude with a focus on reaching targets.
Should have experience in IT Cold calling US/Canada Region minimum of 2 years.
Great interpersonal Skills & should be a team player.
Good proficiency in LinkedIn Navigator, Salesforce, ZoomInfo, and MS Office (Outlook, Word, PowerPoint, Excel)

Roles and Responsibilities:

Initiating conversations with prospects through cold calling, emailing, and other sources.
Have business conversations with potential customers to identify pain areas and challenges that will help in qualifying the opportunity.
Presenting company offerings and taking the prospects through the lead generation cycle to convert them into potential opportunities.
Moving leads through the funnel to set up meetings.
Should be able to handle the initial customer call to identify and qualify the opportunity.
Profiling and qualifying companies based on industries, geography, revenue, employee strength, and vertical.
Extensively knowledgeable in secondary research on companies and decision-makers using different market research tools like LinkedIn, ZoomInfo, etc.
Proficient in the use of CRM to track daily sales activities.
Should have strong research capabilities and a good understanding of the North American market, industries, and IT Services.
Identifying Decision-makers, and influencers in department-wise and collecting required information like email id, contact number, domain, responsibilities, etc.

Skillsets Required:

Strong communication skills – verbal and written for telephonic and email exchanges.
Strong desire and a go-getter attitude with a focus on reaching targets.
Should have experience in IT Cold calling US/Canada Region minimum of 2 years.
Great interpersonal Skills & should be a team player.
Good proficiency in LinkedIn Navigator, Salesforce, ZoomInfo, and MS Office (Outlook, Word, PowerPoint, Excel)

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About APPSTEK INFORMATION SERVICES

Founded :

2007

Type :

Services

Size :

100-1000

Stage :

Bootstrapped

About

AppsTek provides customized, strategic IT consulting services for companies ranging from mid-size to Fortune 100 enterprises across a wide range of industry verticals. Successful implementation of various projects makes us strive to deliver end-to-end enterprise IT solutions.

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Data Scientist

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About Us:

Position Overview:

Key Responsibilities:

Collaborate with stakeholders to define and translate business challenges into data science solutions.
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Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost.
Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
Familiarity with big data processing tools like Apache Spark or Hadoop.
Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
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For more details, please go through the website given below:-

http://www.midaswebtech.com/">www.midaswebtech.com

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